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ORCID46th SIGIR 2023: Taipei, Taiwan
- Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, Barbara Poblete:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM 2023, ISBN 978-1-4503-9408-6
Keynote Talks
- Marc Najork
:
Generative Information Retrieval. 1 - Chih-Jen Lin:
On the "Rough Use" of Machine Learning Techniques. 2 - Ranjitha Kumar:
Bridging Quantitative and Qualitative Digital Experience Testing. 3-4 - Ryen W. White:
Tasks, Copilots, and the Future of Search. 5-6
Session 1 - Unbiased and Fairness
- Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang:
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. 7-17 - Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
On the Impact of Outlier Bias on User Clicks. 18-27 - Mengyue Yang, Jun Wang, Jean-Francois Ton:
Rectifying Unfairness in Recommendation Feedback Loop. 28-37 - Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin:
Contrastive Box Embedding for Collaborative Reasoning. 38-47 - Andrés Hoyos Idrobo:
Learning to Re-rank with Constrained Meta-Optimal Transport. 48-57
Session 2 - Sequential Recommendation - Part 1
- Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. 58-67 - Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park:
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. 68-77 - Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. 78-88 - Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. 89-98 - Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. 99-109
Session 3 - Dense Retrieval
- Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani:
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. 110-120 - Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Nogueira, Hamed Zamani:
A Personalized Dense Retrieval Framework for Unified Information Access. 121-130 - Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao:
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. 131-140 - Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. 141-151 - Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
Lexically-Accelerated Dense Retrieval. 152-162 - Hamed Zamani, Michael Bendersky:
Multivariate Representation Learning for Information Retrieval. 163-173
Session 4 - Language Models
- Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. 174-184 - Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu:
MGeo: Multi-Modal Geographic Language Model Pre-Training. 185-194 - Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie:
Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. 195-204 - Fang Guo, Yun Luo, Linyi Yang, Yue Zhang:
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. 205-215 - Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. 216-226 - Zizhuo Zhang, Bang Wang:
Prompt Learning for News Recommendation. 227-237
Session 5 - Exposure and Popularity Bias
- Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. 238-248 - Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. 249-258 - Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu:
HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. 259-268 - Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. 269-278
Session 6 - Sequential Recommendation - Part 2
- Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributionally Robust Sequential Recommnedation. 279-288 - Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. 289-299 - Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li:
Poisoning Self-supervised Learning Based Sequential Recommendations. 300-310 - Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li:
Towards Multi-Interest Pre-training with Sparse Capsule Network. 311-320 - Yaowen Ye, Lianghao Xia, Chao Huang:
Graph Masked Autoencoder for Sequential Recommendation. 321-330 - Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang:
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. 331-340
Session 7 - Knowledge Graphs for Recommendation
- Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong:
Single-shot Feature Selection for Multi-task Recommendations. 341-351 - Qian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li:
Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation. 352-361 - Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao:
Knowledge-refined Denoising Network for Robust Recommendation. 362-371 - Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. 372-382
Session 8 - POI Recommendation
- Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu:
EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. 383-392 - Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu:
Adaptive Graph Representation Learning for Next POI Recommendation. 393-402 - Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu:
Spatio-Temporal Hypergraph Learning for Next POI Recommendation. 403-412 - Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu:
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. 413-422 - Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. 423-432
Session 9 - Music, video, Social Media
- Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li:
Learning Fine-grained User Interests for Micro-video Recommendation. 433-442 - Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. 443-452 - Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. 453-463 - Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave:
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services. 464-474 - Seong-Min Kang, Yoon-Sik Cho:
MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval. 475-484 - Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo:
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. 485-495
Session 10 - Sparsity Problem
- Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. 496-505 - Zhihao Wen, Yuan Fang:
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. 506-516 - Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. 517-526 - Heeyoon Yang, YunSeok Choi, Gahyung Kim, Jee-Hyong Lee:
LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. 527-536 - Naoto Ohsaka, Riku Togashi:
Curse of "Low" Dimensionality in Recommender Systems. 537-547 - Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. 548-557
Session 11 - Evaluation
- Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke:
An Offline Metric for the Debiasedness of Click Models. 558-568 - Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen:
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models. 569-579 - Harrisen Scells, Ferdinand Schlatt, Martin Potthast:
Smooth Operators for Effective Systematic Review Queries. 580-590
Session 12 - Knowledge Graphs - Part 1
- Jingyun Xu, Yi Cai:
Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition. 591-600 - Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. 601-611 - Ye Yuan, Delong Ma, Anbiao Wu, Jianbin Qin:
Subgraph Search over Neural-Symbolic Graphs. 612-621 - Jiasheng Zhang, Jie Shao, Bin Cui:
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. 622-631
Session 13 - Conversational Search and Recommendation
- Paul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton, Fabio Crestani:
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond. 632-642 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks. 643-653 - Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu:
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. 654-664
Session 14 - Efficiency
- Washington Cunha, Celso França, Guilherme Fonseca, Leonardo Rocha, Marcos André Gonçalves:
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. 665-674 - Qiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Hai Jin, Yun Yang:
EDIndex: Enabling Fast Data Queries in Edge Storage Systems. 675-685 - Rong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei, Heyan Huang:
Data-Aware Proxy Hashing for Cross-modal Retrieval. 686-696 - Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. 697-707 - Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. 708-717
Session 15 - Crowdsourced and Annotation
- Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff:
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. 718-728 - Dan Li, Maarten de Rijke:
Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. 729-738 - Zhe Fu, Xi Niu, Li Yu:
Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations. 739-748 - Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu:
Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. 749-759 - Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar:
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. 760-769
Session 16 - Question Answering
- Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Shiyuan Tang:
An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake. 770-780 - Farah Atif, Ola El Khatib, Djellel Eddine Difallah:
BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search. 781-790 - Wei Peng, Wanshui Li, Yue Hu:
Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA. 791-801
Session 17 - Temporal & Dynamic - Part 1
- Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. 802-811 - Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai:
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. 812-821 - Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen:
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. 822-831 - Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. 832-841 - Mingchen Li, Lifu Huang:
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. 842-851
Session 18 - Knowledge Graphs - Part 2
- Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu:
Weighted Knowledge Graph Embedding. 867-877 - Bin Shang, Yinliang Zhao, Di Wang, Jun Liu:
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. 878-888 - Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou:
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. 889-899 - Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. 900-910 - Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen:
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. 911-921
Session 19 - Implicit Feedback and Sessions
- Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. 922-931 - Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. 932-941 - Yushun Dong, Jundong Li, Tobias Schnabel:
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? 942-952 - Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang:
Session Search with Pre-trained Graph Classification Model. 953-962 - Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao:
Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space. 963-972
Session 20 - Personalized Models
- Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao:
Personalized Federated Relation Classification over Heterogeneous Texts. 973-982 - Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang:
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. 983-992 - Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani:
Editable User Profiles for Controllable Text Recommendations. 993-1003 - Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue:
Intent-aware Ranking Ensemble for Personalized Recommendation. 1004-1013 - Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma:
Personalized Retrieval over Millions of Items. 1014-1022
Session 21 - Legal, Medicine & Health
- Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
ML-LJP: Multi-Law Aware Legal Judgment Prediction. 1023-1034 - Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian:
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. 1035-1044 - Silvia Casola, Alberto Lavelli, Horacio Saggion:
Creating a Silver Standard for Patent Simplification. 1045-1055 - Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus:
Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. 1056-1065 - Runcong Zhao, Lin Gui, Yulan He:
Cone: Unsupervised Contrastive Opinion Extraction. 1066-1075
Session 22 - Collaborative Filtering
- Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang:
AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. 1076-1085 - Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. 1086-1095 - Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho:
Blurring-Sharpening Process Models for Collaborative Filtering. 1096-1106 - Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. 1107-1116 - Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative-Contrastive Graph Learning for Recommendation. 1117-1126 - Zhiyu Yuan, Kai Ren, Gang Wang, Xin Miao:
Hydrus: Improving Personalized Quality of Experience in Short-form Video Services. 1127-1136 - Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. 1137-1146
Session 23 - Cold-start Recommendation and Users' Preferences & Interests
- Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen:
Aligning Distillation For Cold-start Item Recommendation. 1147-1157 - Zhenchao Wu, Xiao Zhou:
M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation. 1158-1167 - Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang:
A Preference Learning Decoupling Framework for User Cold-Start Recommendation. 1168-1177 - Nícollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha:
Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. 1178-1187 - Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang:
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. 1188-1197 - Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
Strategy-aware Bundle Recommender System. 1198-1207
Session 24 - Cross-modal, Cross-lingual, Multi-modal
- Zhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan:
Soft Prompt Decoding for Multilingual Dense Retrieval. 1208-1218 - Suraj Nair, Eugene Yang, Dawn J. Lawrie, James Mayfield, Douglas W. Oard:
BLADE: Combining Vocabulary Pruning and Intermediate Pretraining for Scaleable Neural CLIR. 1219-1229 - Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu:
Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. 1230-1240 - Weijing Chen, Linli Yao, Qin Jin:
Rethinking Benchmarks for Cross-modal Image-text Retrieval. 1241-1251 - Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. 1252-1261 - Minyi Zhao, Jinpeng Wang, Dongliang Liao, Yiru Wang, Huanzhong Duan, Shuigeng Zhou:
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer. 1262-1272 - Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu:
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. 1273-1282
Session 25 - E-commerce & Other Applications
- Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li:
Multi-view Multi-aspect Neural Networks for Next-basket Recommendation. 1283-1292 - Negin Ghasemi, Mohammad Aliannejadi, Hamed R. Bonab, Evangelos Kanoulas, Arjen P. de Vries, James Allan, Djoerd Hiemstra:
Cross-Market Product-Related Question Answering. 1293-1302 - Ran Li, Liang Zhang, Guannan Liu, Junjie Wu:
Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network. 1303-1312 - Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. 1313-1323 - Yuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, Qing Gu:
Unsupervised Readability Assessment via Learning from Weak Readability Signals. 1324-1334 - Gal Peretz, Mousa Arraf, Kira Radinsky:
What If: Generating Code to Answer Simulation Questions in Chemistry Texts. 1335-1344 - Siqi Han, Yu Wang, Xuesong Lu:
ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. 1345-1354
Session 26 - Query Performance and CTR Prediction
- Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto:
A Geometric Framework for Query Performance Prediction in Conversational Search. 1355-1365 - Tianqi He, Kaiyuan Li, Shan Chen, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang:
DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning. 1366-1375 - Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. 1376-1385 - Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. 1386-1395 - Ashutosh Nayak, Mayur Garg, Rajasekhara Reddy Duvvuru Muni:
News Popularity Beyond the Click-Through-Rate for Personalized Recommendations. 1396-1405 - Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He:
Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. 1406-1415
Session 27 - Summarisation & Text Generation
- Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang:
A Topic-aware Summarization Framework with Different Modal Side Information. 1416-1425 - Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon:
Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? 1426-1436 - Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. 1437-1447 - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. 1448-1457 - Bolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen:
RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion. 1458-1467
Session 28 - Cross-domain Recommendation
- Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu:
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. 1468-1477 - Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang:
AutoTransfer: Instance Transfer for Cross-Domain Recommendations. 1478-1487 - Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong:
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. 1488-1497 - Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang:
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. 1498-1507
Session 29 - Multimodal & Multimedia
- Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
LightGT: A Light Graph Transformer for Multimedia Recommendation. 1508-1517 - Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. 1518-1527 - Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu:
MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. 1528-1538 - Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong, Feng Xue:
Multimodal Counterfactual Learning Network for Multimedia-based Recommendation. 1539-1548 - Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. 1549-1558
Session 30 - Temporal & Dynamic - Part 2
- Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. 1559-1568 - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Dynamic Mixed Membership Stochastic Block Model for Weighted Labeled Networks. 1569-1577 - Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. 1578-1588 - Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li:
Dynamic Graph Evolution Learning for Recommendation. 1589-1598 - Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao:
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. 1599-1608
Session 31 - Implicit Feedback and Sessions
- Xuan Tan, Wei Wu, Chuan Luo:
SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing. 1609-1618 - Naoto Ohsaka, Riku Togashi:
A Critical Reexamination of Intra-List Distance and Dispersion. 1619-1628 - Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang:
Contrastive Learning for Signed Bipartite Graphs. 1629-1638 - Jaewan Moon, Hye-young Kim, Jongwuk Lee:
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation. 1639-1648 - Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty Quantification for Extreme Classification. 1649-1659
Session 32 - Collaborative Filtering & Graph Neural Approaches
- Yuyang Ren, Haonan Zhang, Luoyi Fu, Xinbing Wang, Chenghu Zhou:
Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation. 1660-1669 - Wei He, Guohao Sun, Jinhu Lu, Xiu Susie Fang:
Candidate-aware Graph Contrastive Learning for Recommendation. 1670-1679 - Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. 1680-1689
Session 33 - Attacks and Other Recommender Systems
- Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. 1690-1699 - Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. 1700-1709 - Hao Jiang, Chuanzhen Li, Juanjuan Cai, Jingling Wang:
RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation. 1710-1720 - Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. 1721-1730
Short Research Papers
- Zhichao Xu, Daniel Cohen:
A Lightweight Constrained Generation Alternative for Query-focused Summarization. 1745-1749 - Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen:
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. 1750-1754 - Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou:
Mixup-based Unified Framework to Overcome Gender Bias Resurgence. 1755-1759 - Fan Zhang, Qijie Shen:
A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System. 1760-1764 - Zengzhi Wang, Qiming Xie, Rui Xia:
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis. 1765-1770 - Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto:
A Static Pruning Study on Sparse Neural Retrievers. 1771-1775 - Can Özbey, Talha Çolakoglu, M. Safak Bilici, Ekin Can Erkus:
A Unified Formulation for the Frequency Distribution of Word Frequencies using the Inverse Zipf's Law. 1776-1780 - Thong Nguyen, Sean MacAvaney, Andrew Yates:
Adapting Learned Sparse Retrieval for Long Documents. 1781-1785 - Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu, Haoyuan Hu:
ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. 1786-1790 - Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu:
Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. 1791-1795 - Tuukka Ruotsalo, Kalle Mäkelä, Michiel M. A. Spapé, Luis A. Leiva:
Affective Relevance: Inferring Emotional Responses via fNIRS Neuroimaging. 1796-1800 - Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. 1801-1805 - Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao:
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. 1806-1810 - Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. 1811-1815 - Yan Zhou, Jie Guo, Hao Sun, Bin Song, Fei Richard Yu:
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. 1816-1820 - Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin:
Attention Mixtures for Time-Aware Sequential Recommendation. 1821-1826 - Shengyao Zhuang, Linjun Shou, Guido Zuccon:
Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval. 1827-1832 - Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu:
AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. 1833-1837 - Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner:
Bayesian Knowledge-driven Critiquing with Indirect Evidence. 1838-1842 - Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai:
Behavior Modeling for Point of Interest Search. 1843-1847 - Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal:
Benchmarking Middle-Trained Language Models for Neural Search. 1848-1852 - Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. 1853-1858 - Yin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo:
BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. 1859-1863 - Zheng Liu, Mingjing Wu, Bo Peng, Yichao Liu, Qi Peng, Chong Zou:
Calibration Learning for Few-shot Novel Product Description. 1864-1868 - Marwah Alaofi, Luke Gallagher, Mark Sanderson, Falk Scholer, Paul Thomas:
Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study. 1869-1873 - Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. 1874-1878 - Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin:
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. 1879-1883 - Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu:
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. 1884-1888 - Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Computational Versus Perceived Popularity Miscalibration in Recommender Systems. 1889-1893 - Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu, Guannan Zhang:
Connecting Unseen Domains: Cross-Domain Invariant Learning in Recommendation. 1894-1898 - Hye-young Kim, Minjin Choi, Sunkyung Lee, Eunseong Choi, Young-In Song, Jongwuk Lee:
ConQueR: Contextualized Query Reduction using Search Logs. 1899-1903 - Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Context-Aware Modeling via Simulated Exposure Page for CTR Prediction. 1904-1908 - Wentao Ouyang, Rui Dong, Xiuwu Zhang, Chaofeng Guo, Jinmei Luo, Xiangzheng Liu, Yanlong Du:
Contrastive Learning for Conversion Rate Prediction. 1909-1913 - Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He:
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. 1914-1918 - Duzhen Zhang, Yahan Yu, Feilong Chen, Xiuyi Chen:
Decomposing Logits Distillation for Incremental Named Entity Recognition. 1919-1923 - Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta, Alberto Carlo Maria Mancino:
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries. 1924-1928 - Yimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun:
DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things. 1929-1933 - Jiazhan Feng, Chongyang Tao, Tao Shen, Chang Liu, Dongyan Zhao:
Dimension-Prompts Boost Commonsense Consolidation. 1934-1938 - Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko:
Disentangling User Conversations with Voice Assistants for Online Shopping. 1939-1943 - Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah:
DocGraphLM: Documental Graph Language Model for Information Extraction. 1944-1948 - Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. 1949-1953 - Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin:
SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. 1954-1959 - Shivangi Bithel, Srikanta Bedathur:
Evaluating Cross-modal Generative Models Using Retrieval Task. 1960-1965 - Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen:
Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking. 1966-1970 - Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer:
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. 1971-1975 - Michael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal:
Explain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation. 1976-1980 - Enes Recep Cinar, Ismail Sengor Altingovde:
Exploiting Cluster-Skipping Inverted Index for Semantic Place Retrieval. 1981-1985 - Ruoyu Zhang, Yanzeng Li, Minhao Zhang, Lei Zou:
Exploiting Ubiquitous Mentions for Document-Level Relation Extraction. 1986-1990 - Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi:
Exploration of Unranked Items in Safe Online Learning to Re-Rank. 1991-1995 - Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. 1996-2000 - Erman Yafay, Ismail Sengor Altingovde:
Faster Dynamic Pruning via Reordering of Documents in Inverted Indexes. 2001-2005 - Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang:
FINAL: Factorized Interaction Layer for CTR Prediction. 2006-2010 - Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke:
Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation. 2011-2015 - Liang Yao, Jiazhen Peng, Shenggong Ji, Qiang Liu, Hongyun Cai, Feng He, Xu Cheng:
Friend Ranking in Online Games via Pre-training Edge Transformers. 2016-2020 - Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu:
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. 2021-2025 - Iain Mackie, Shubham Chatterjee, Jeffrey Dalton:
Generative Relevance Feedback with Large Language Models. 2026-2031 - Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. 2032-2036 - Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. 2037-2041 - Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
Neighborhood-based Hard Negative Mining for Sequential Recommendation. 2042-2046 - Zhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen:
Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. 2047-2051 - Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang:
HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. 2052-2056 - Junwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang:
How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. 2057-2061 - Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng:
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. 2062-2066 - Nikita Pavlichenko, Dmitry Ustalov:
Best Prompts for Text-to-Image Models and How to Find Them. 2067-2071 - James O'Neill, Sourav Dutta:
Improved Vector Quantization For Dense Retrieval with Contrastive Distillation. 2072-2076 - Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang:
Improving Conversational Passage Re-ranking with View Ensemble. 2077-2081 - Xiongfeng Xiao, Qing Li, Songlin Liu, Kun Zhou:
Improving News Recommendation via Bottlenecked Multi-task Pre-training. 2082-2086 - Ngozi Ihemelandu, Michael D. Ekstrand:
Inference at Scale: Significance Testing for Large Search and Recommendation Experiments. 2087-2091 - Qiao Jin, Andrew Shin, Zhiyong Lu:
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. 2092-2097 - Dmitry Abulkhanov, Nikita Sorokin, Sergey I. Nikolenko, Valentin Malykh:
LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. 2098-2102 - Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang:
Learning from Crowds with Annotation Reliability. 2103-2107 - Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava:
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. 2108-2112 - Yang Deng, Shuaiyi Li, Wai Lam:
Learning to Ask Clarification Questions with Spatial Reasoning. 2113-2117 - Diogo Tavares, David Semedo, Alexander Rudnicky, João Magalhães:
Learning to Ask Questions for Zero-shot Dialogue State Tracking. 2118-2122 - Ehsan Kamalloo, Charles L. A. Clarke, Davood Rafiei:
Limitations of Open-Domain Question Answering Benchmarks for Document-level Reasoning. 2123-2128 - Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner:
LogicRec: Recommendation with Users' Logical Requirements. 2129-2133 - Seonmin Kim, Dong-Kyu Chae:
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features. 2134-2138 - Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao:
LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. 2139-2143 - Zhiang Yue, Jingping Liu, Cong Zhang, Chao Wang, Haiyun Jiang, Yue Zhang, Xianyang Tian, Zhedong Cen, Yanghua Xiao, Tong Ruan:
MA-MRC: A Multi-answer Machine Reading Comprehension Dataset. 2144-2148 - Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. 2149-2153 - Eduardo Brito, Henri Iser:
MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs. 2154-2158 - Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang:
MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. 2159-2163 - Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim:
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. 2164-2168 - Paul Musgrave, Cuize Han, Parth Gupta:
Measuring Service-Level Learning Effects in Search Via Query-Randomized Experiments. 2169-2173 - Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao:
Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. 2174-2178 - Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang:
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems. 2179-2183 - Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang:
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. 2184-2188 - Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. 2189-2193 - Shengwei Zhao, Linhai Xu, Yuying Liu, Shaoyi Du:
Multi-grained Representation Learning for Cross-modal Retrieval. 2194-2198 - Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang:
Multiple Topics Community Detection in Attributed Networks. 2199-2203 - Yejin Lee, Seokwon Jeong, Hongjin Kim, Tae-il Kim, Sung-Won Choi, Harksoo Kim:
NC2T: Novel Curriculum Learning Approaches for Cross-Prompt Trait Scoring. 2204-2208 - Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun:
Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. 2209-2214 - Rafael Glater, Rodrygo L. T. Santos:
On Answer Position Bias in Transformers for Question Answering. 2215-2219 - Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. 2220-2224 - Aki Barry, Lei Han, Gianluca Demartini:
On the Impact of Data Quality on Image Classification Fairness. 2225-2229 - Sean MacAvaney, Luca Soldaini:
One-Shot Labeling for Automatic Relevance Estimation. 2230-2235 - Xiangkui Lu, Jun Wu, Jianbo Yuan:
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. 2236-2240 - Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand:
Patterns of Gender-Specializing Query Reformulation. 2241-2245 - Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi:
Personalized Dynamic Recommender System for Investors. 2246-2250 - An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. 2251-2255 - Ruixue Lian, Sixing Lu, Clint Solomon, Gustavo Aguilar, Pragaash Ponnusamy, Jialong Han, Chengyuan Ma, Chenlei Guo:
PersonalTM: Transformer Memory for Personalized Retrieval. 2256-2260 - Zixin Guo, Tzu-Jui Julius Wang, Selen Pehlivan, Abduljalil Radman, Jorma Laaksonen:
PiTL: Cross-modal Retrieval with Weakly-supervised Vision-language Pre-training via Prompting. 2261-2265 - Dingcheng Li, Peng Yang, Yue Zhang, Ping Li:
Power Norm Based Lifelong Learning for Paraphrase Generations. 2266-2271 - Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng:
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. 2272-2276 - Xiao Fu, Aldo Lipani:
Priming and Actions: An Analysis in Conversational Search Systems. 2277-2281 - Seolhwa Lee, Anders Søgaard:
Private Meeting Summarization Without Performance Loss. 2282-2286 - Lei Liu, Jimmy Xiangji Huang:
Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation. 2287-2292 - Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta, Rishabh Mehrotra:
Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems. 2293-2297 - Negar Arabzadeh, Amin Bigdeli, Radin Hamidi Rad, Ebrahim Bagheri:
Quantifying Ranker Coverage of Different Query Subspaces. 2298-2302 - Debasis Ganguly, Emine Yilmaz:
Query-specific Variable Depth Pooling via Query Performance Prediction. 2303-2307 - Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky:
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. 2308-2313 - Rafael Ferreira, David Semedo, João Magalhães:
Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features. 2314-2318 - Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. 2319-2323 - Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu:
Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. 2324-2328 - Yifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang:
Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval. 2329-2333 - Donghan Yu, Yiming Yang:
Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. 2334-2338 - Wei Yang, Tengfei Huo, Zhiqiang Liu, Chi Lu:
Review-based Multi-intention Contrastive Learning for Recommendation. 2339-2343 - Yawen Zeng, Keyu Pan, Ning Han:
RewardTLG: Learning to Temporally Language Grounding from Flexible Reward. 2344-2348 - Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang:
Robust Causal Inference for Recommender System to Overcome Noisy Confounders. 2349-2353 - Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems. 2354-2358 - Austin R. Ward, Sandeep Avula, Hao Fei Cheng, Sheikh Muhammad Sarwar, Vanessa Murdock, Eugene Agichtein:
Searching for Products in Virtual Reality: Understanding the Impact of Context and Result Presentation on User Experience. 2359-2363 - Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu:
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. 2364-2368 - Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. 2369-2373 - Dongxu Li, Zhihao Yang, Yuquan Lan, Yunqi Zhang, Hui Zhao, Gang Zhao:
Simple Approach for Aspect Sentiment Triplet Extraction Using Span-Based Segment Tagging and Dual Extractors. 2374-2378 - Kazuyoshi Aoyama, Daichi Amagata, Sumio Fujita, Takahiro Hara:
Simpler is Much Faster: Fair and Independent Inner Product Search. 2379-2383 - Andreea Iana, Goran Glavas, Heiko Paulheim:
Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives. 2384-2388 - Jian Xie, Xin He, Jiyang Wang, Zimeng Qiu, Ali Kebarighotbi, Farhad Ghassemi:
SimTDE: Simple Transformer Distillation for Sentence Embeddings. 2389-2393 - Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey I. Nikolenko, Irina Piontkovskaya:
Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval. 2394-2398 - Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky:
SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. 2399-2403 - Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins:
Surprise: Result List Truncation via Extreme Value Theory. 2404-2408 - Fernando Ferraretto, Thiago Soares Laitz, Roberto A. Lotufo, Rodrigo Nogueira:
ExaRanker: Synthetic Explanations Improve Neural Rankers. 2409-2414 - Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen, Jun Zhou:
TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. 2415-2419 - Nicola Messina, Jan Sedmidubský, Fabrizio Falchi, Tomás Rebok:
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language. 2420-2425 - Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. 2426-2430 - Carlos Lassance, Stéphane Clinchant:
The Tale of Two MSMARCO - and Their Unfair Comparisons. 2431-2435 - Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. 2436-2440 - Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng:
Towards Robust Knowledge Tracing Models via k-Sparse Attention. 2441-2445 - Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi:
TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. 2446-2450 - Min-Jeong Kim, Yeon-Chang Lee, Sang-Wook Kim:
TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks. 2451-2455 - Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee:
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering. 2456-2460 - Yi Ren, Hongyan Tang, Jiangpeng Rong, Siwen Zhu:
Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control. 2461-2465 - Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. 2466-2470 - Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min:
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. 2471-2475 - Yiqing Xie, Xiao Liu, Chenyan Xiong:
Unsupervised Dense Retrieval Training with Web Anchors. 2476-2480 - Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li:
Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning. 2481-2485 - Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig MacDonald:
Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. 2486-2490 - Fangyuan Luo, Jun Wu:
User-Dependent Learning to Debias for Recommendation. 2491-2495 - Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang:
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. 2496-2500 - Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang:
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. 2501-2505 - Samarth Bhargav, Anne Schuth, Claudia Hauff:
When the Music Stops: Tip-of-the-Tongue Retrieval for Music. 2506-2510 - Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang:
Where Does Your News Come From? Predicting Information Pathways in Social Media. 2511-2515 - Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. 2516-2520 - Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. 2521-2525 - Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic:
EmoUS: Simulating User Emotions in Task-Oriented Dialogues. 2526-2531
Reproducibility Papers
- Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke:
Repetition and Exploration in Sequential Recommendation. 2532-2541 - Shuai Wang, Guido Zuccon:
Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. 2542-2551 - Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. 2552-2561 - Miriam Louise Carnot, Lorenz Heinemann, Jan Braker, Tobias Schreieder, Johannes Kiesel, Maik Fröbe, Martin Potthast, Benno Stein:
On Stance Detection in Image Retrieval for Argumentation. 2562-2571 - Joakim Edin, Alexander Junge, Jakob D. Havtorn, Lasse Borgholt, Maria Maistro, Tuukka Ruotsalo, Lars Maaløe:
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study. 2572-2582 - Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke:
Query Performance Prediction: From Ad-hoc to Conversational Search. 2583-2593 - Janek Bevendorff, Sanket Gupta, Johannes Kiesel, Benno Stein:
An Empirical Comparison of Web Content Extraction Algorithms. 2594-2603
Perspective Papers
- Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri:
Multimodal Neural Databases. 2619-2628 - Aixin Sun:
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. 2629-2638 - Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni:
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. 2639-2649 - Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega:
The Role of Relevance in Fair Ranking. 2650-2660 - Hyunsung Lee, Sungwook Yoo, Dongjun Lee, Jaekwang Kim:
How Important is Periodic Model update in Recommender System? 2661-2668 - Qingyao Ai, Xuanhui Wang, Michael Bendersky:
Metric-agnostic Ranking Optimization. 2669-2680
Resource Papers
- Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma:
T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. 2681-2690 - Petr Babkin, William Watson, Zhiqiang Ma, Lucas Cecchi, Natraj Raman, Armineh Nourbakhsh, Sameena Shah:
BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains. 2691-2700 - Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. 2701-2711 - Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SocialDial: A Benchmark for Socially-Aware Dialogue Systems. 2712-2722 - Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che:
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation. 2723-2732 - Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang:
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. 2733-2743 - Haochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner:
Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval. 2744-2753 - Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski:
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset. 2754-2764 - Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde:
Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. 2765-2774 - Nolwenn Bernard, Krisztian Balog:
MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce. 2775-2785 - Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. 2786-2795 - Liana Ermakova, Anne-Gwenn Bosser, Adam Jatowt, Tristan Miller:
The JOKER Corpus: English-French Parallel Data for Multilingual Wordplay Recognition. 2796-2806 - Yihao Ding, Siqu Long, Jiabin Huang, Kaixuan Ren, Xingxiang Luo, Hyunsuk Chung, Soyeon Caren Han:
Form-NLU: Dataset for the Form Natural Language Understanding. 2807-2816 - Chris Kamphuis, Aileen Lin, Siwen Yang, Jimmy Lin, Arjen P. de Vries, Faegheh Hasibi:
MMEAD: MS MARCO Entity Annotations and Disambiguations. 2817-2825 - Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast:
The Information Retrieval Experiment Platform. 2826-2836 - Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. 2837-2847 - Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, Martin Potthast:
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives. 2848-2860 - Yaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi:
GammaGL: A Multi-Backend Library for Graph Neural Networks. 2861-2870 - Hugo O. Sousa, Ricardo Campos, Alípio Mário Jorge:
tieval: An Evaluation Framework for Temporal Information Extraction Systems. 2871-2879 - Dawn J. Lawrie, James Mayfield, Douglas W. Oard, Eugene Yang, Suraj Nair, Petra Galuscáková:
HC3: A Suite of Test Collections for CLIR Evaluation over Informal Text. 2880-2889 - Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen:
RecStudio: Towards a Highly-Modularized Recommender System. 2890-2900 - Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu:
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. 2901-2912 - David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell:
BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. 2913-2923 - Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang:
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. 2924-2934 - Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan:
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. 2935-2944 - Jiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu:
JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions. 2945-2952 - Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe:
iQPP: A Benchmark for Image Query Performance Prediction. 2953-2963 - Nandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin:
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval. 2964-2974 - Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin:
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. 2975-2984 - Giovanni Bonisoli, Maria Pia di Buono, Laura Po, Federica Rollo:
DICE: a Dataset of Italian Crime Event news. 2985-2995 - Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa:
BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. 2996-3006 - Muhammad Hasan Maqbool, Umar Farooq, Adib Mosharrof, A. B. Siddique, Hassan Foroosh:
MobileRec: A Large Scale Dataset for Mobile Apps Recommendation. 3007-3016 - Yang Bai, Anthony M. Colas, Daisy Zhe Wang:
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering. 3017-3026 - Gabriel Iturra-Bocaz, Felipe Bravo-Marquez:
RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams. 3027-3036 - Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. 3037-3046 - Ian Soboroff:
The BETTER Cross-Language Datasets. 3047-3053 - Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah:
REFinD: Relation Extraction Financial Dataset. 3054-3063 - Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, Martino Lovisetto:
Linked-DocRED - Enhancing DocRED with Entity-Linking to Evaluate End-To-End Document-Level Information Extraction Pipelines. 3064-3074 - Marco Alessio, Guglielmo Faggioli, Nicola Ferro:
DECAF: A Modular and Extensible Conversational Search Framework. 3075-3085 - Petra Galuscáková, Romain Deveaud, Gabriela González Sáez, Philippe Mulhem, Lorraine Goeuriot, Florina Piroi, Martin Popel:
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation. 3086-3094
Demo Papers
- Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao:
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. 3095-3099 - Mahsa Seifikar, Linh Nhi Phan Minh, Negar Arabzadeh, Charles L. A. Clarke, Mark D. Smucker:
A Preference Judgment Tool for Authoritative Assessment. 3100-3104 - Wojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury:
VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks. 3105-3109 - Bryan Amador, Matt Langsenkamp, Abhisek Dey, Ayush Kumar Shah, Richard Zanibbi:
Searching the ACL Anthology with Math Formulas and Text. 3110-3114 - Chang Nian Chuy, Qinmin Vivian Hu, Chen Ding:
One Stop Shop for Question-Answering Dataset Selection. 3115-3119 - Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. 3120-3124 - Zhixuan Li, Joel Mackenzie:
Profiling and Visualizing Dynamic Pruning Algorithms. 3125-3129 - Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li:
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. 3130-3134 - Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth:
SciHarvester: Searching Scientific Documents for Numerical Values. 3135-3139 - Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen:
NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. 3140-3144 - Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent:
AMICA: Alleviating Misinformation for Chinese Americans. 3145-3149 - Yin-Wei Chiu, Hsiao-Ching Huang, Cheng-Ju Lee, Hsun-Ping Hsieh:
PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing. 3150-3154 - Weibin Cai, Fanwei Zhu, Zemin Liu, Minghui Wu:
HeteroCS: A Heterogeneous Community Search System With Semantic Explanation. 3155-3159 - Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. 3160-3164 - Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models. 3165-3169 - Zien Sheikh Ali, Watheq Mansour, Fatima Haouari, Maram Hasanain, Tamer Elsayed, Abdulaziz Al-Ali:
Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification. 3170-3174 - Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei:
SEA: A Scalable Entity Alignment System. 3175-3179 - Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus Gross:
A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. 3180-3184 - Yuxuan Zong, Benjamin Piwowarski:
XpmIR: A Modular Library for Learning to Rank and Neural IR Experiments. 3185-3189 - Harrisen Scells, Martin Potthast:
pybool_ir: A Toolkit for Domain-Specific Search Experiments. 3190-3194 - Matthias Springstein, Markos Stamatakis, Margret Plank, Julian Sittel, Roman Mauer, Oksana Bulgakowa, Ralph Ewerth, Eric Müller-Budack:
TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. 3195-3199 - Lucio La Cava, Davide Costa, Andrea Tagarelli:
SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration Networks. 3200-3204 - Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso:
Searching for Reliable Facts over a Medical Knowledge Base. 3205-3209 - Elias Bassani:
ranxhub: An Online Repository for Information Retrieval Runs. 3210-3214 - Francesco Meggetto, Yashar Moshfeghi:
Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research. 3215-3219 - Gabriela González Sáez, Petra Galuscáková, Romain Deveaud, Lorraine Goeuriot, Philippe Mulhem:
Exploratory Visualization Tool for the Continuous Evaluation of Information Retrieval Systems. 3220-3224
SIRIP Papers
- Jayant Kumar, Ashok Gupta, Zhaoyu Lu, Andrei Stefan, Tracy Holloway King:
Multi-lingual Semantic Search for Domain-specific Applications: Adobe Photoshop and Illustrator Help Search. 3225-3229 - Alva Liu, Humberto Jesús Corona Pampín, Enrico Palumbo:
Bootstrapping Query Suggestions in Spotify's Instant Search System. 3230-3234 - Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. 3235-3239 - Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou, Haibin Huang:
A Consumer Compensation System in Ride-hailing Service. 3240-3244 - Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang:
Interactive Recommendation System for Meituan Waimai. 3245-3249 - Wenping Wang, Yunxi Guo, Chiyao Shen, Shuai Ding, Guangdeng Liao, Hao Fu, Pramodh Karanth Prabhakar:
Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search. 3250-3254 - Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye:
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. 3255-3259 - Pengyuan Li, Guang-Jie Ren, Anna Lisa Gentile, Chad DeLuca, Daniel Tan, Sandeep Gopisetty:
Long-Form Information Retrieval for Enterprise Matchmaking. 3260-3264 - Mingming Li, Chunyuan Yuan, Binbin Wang, Jingwei Zhuo, Songlin Wang, Lin Liu, Sulong Xu:
Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval. 3265-3269 - Daohong Jian, Yang Bao, Jun Zhou, Hua Wu:
A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation. 3270-3274 - Youhua Tang, Xiong Xiong, Siyang Sun, Baoliang Cui, Yun Zheng, Haihong Tang:
TMML: Text-Guided MuliModal Product Location For Alleviating Retrieval Inconsistency in E-Commerce. 3275-3279 - Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng:
MDI: A Debiasing Method Combining Unbiased and Biased Data. 3280-3284 - Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang:
Context-Aware Classification of Legal Document Pages. 3285-3289 - Xiangyu Niu, Yu-Wei Wu, Xiao Lu, Gautam Nagpal, Philip Pronin, Kecheng Hao, Zhen Liao, Guangdeng Liao:
Facebook Content Search: Efficient and Effective Adapting Search on A Large Scale. 3290-3294 - Nuo Chen, Donghyun Park, Hyungae Park, Kijun Choi, Tetsuya Sakai, Jinyoung Kim:
Practice and Challenges in Building a Business-oriented Search Engine Quality Metric. 3295-3299 - Sebastian Björkqvist, Juho Kallio:
Building a Graph-Based Patent Search Engine. 3300-3304 - Sen Hu, Changlin Yang, Junjie Wang, Siye Liu, Teng Xu, Wangshu Zhang, Jing Zheng:
A Data-centric Solution to Improve Online Performance of Customer Service Bots. 3305-3309 - Zhoufutu Wen, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wei Jia, Xiaodong Chen, Shuanglong Li, Lin Liu:
Enhancing Dynamic Image Advertising with Vision-Language Pre-training. 3310-3314 - Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. 3315-3319 - Btissam Er-Rahmadi, Arturo Oncevay, Yuanyi Ji, Jeff Z. Pan:
KATIE: A System for Key Attributes Identification in Product Knowledge Graph Construction. 3320-3324 - Wenting Ye, Hongfei Yang, Shuai Zhao, Haoyang Fang, Xingjian Shi, Naveen Neppalli:
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. 3325-3329 - Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu:
Embedding Based Retrieval in Friend Recommendation. 3330-3334 - Christophe Van Gysel:
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities. 3335-3338 - Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe:
Personalized Stock Recommendation with Investors' Attention and Contextual Information. 3339-3343 - Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski:
Synerise Monad: A Foundation Model for Behavioral Event Data. 3344-3348 - Hsiu-Wei Yang, Abhinav Agrawal:
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection. 3349-3353 - Shaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu:
Exploring the Spatiotemporal Features of Online Food Recommendation Service. 3354-3358 - Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu:
Alleviating Matching Bias in Marketing Recommendations. 3359-3363 - Yankun Ren, Xinxing Yang, Xingyu Lu, Longfei Li, Jun Zhou, Jinjie Gu, Guannan Zhang:
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. 3364-3368 - Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo:
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. 3369-3373 - Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). 3374-3379 - Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin:
Implicit Query Parsing at Amazon Product Search. 3380-3384 - Xiaoyang Zheng, Fuyu Lv, Zilong Wang, Qingwen Liu, Xiaoyi Zeng:
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training. 3385-3389 - Suthee Chaidaroon, Xiao Zhang, Shruti Subramaniyam, Jeffrey Svajlenko, Tanya Shourya, Iman Keivanloo, Ria Joy:
Improving Programming Q&A with Neural Generative Augmentation. 3390-3394 - Sanat Sharma, Josep Valls-Vargas, Tracy Holloway King, François Guerin, Chirag Arora:
Contextual Multilingual Spellchecker for User Queries. 3395-3399 - Md. Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka:
Exploring 360-Degree View of Customers for Lookalike Modeling. 3400-3404 - Zhigong Zhou, Ning Ding, Xiaochuan Fan, Yue Shang, Yiming Qiu, Jingwei Zhuo, Zhiwei Ge, Songlin Wang, Lin Liu, Sulong Xu, Han Zhang:
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search. 3405-3409 - Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. 3410-3414 - Xiaojie Wang, Ruoyuan Gao, Anoop Jain, Graham Edge, Sachin Ahuja:
How Well do Offline Metrics Predict Online Performance of Product Ranking Models? 3415-3420 - Akshay Jagatap, Nikki Gupta, Sachin Farfade, Prakash Mandayam Comar:
AttriBERT - Session-based Product Attribute Recommendation with BERT. 3421-3425
Tutorials
- Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He:
Uncertainty Quantification for Text Classification. 3426-3429 - Eugene Yang, Dawn J. Lawrie, James Mayfield, Suraj Nair, Douglas W. Oard:
Neural Methods for Cross-Language Information Retrieval. 3430-3431 - Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He:
Causal Recommendation: Progresses and Future Directions. 3432-3435 - Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeffrey Dalton, Jian-Yun Nie, Rodrigo Nogueira:
Neuro-Symbolic Representations for Information Retrieval. 3436-3439 - Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis:
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. 3440-3443 - Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke:
Complex Item Set Recommendation. 3444-3447 - Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra:
Explainable Information Retrieval. 3448-3451 - Lizi Liao, Grace Hui Yang, Chirag Shah:
Proactive Conversational Agents in the Post-ChatGPT World. 3452-3455
Workshops
- Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini:
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. 3456-3459 - Gabriel Bénédict, Ruqing Zhang, Donald Metzler:
[email protected] 2023: The First Workshop on Generative Information Retrieval. 3460-3463 - Sameena Shah, Xiaodan Zhu, Wenhu Chen, Manling Li, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, Yulong Pei, Akshat Gupta:
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop. 3464-3467 - Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani:
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). 3468-3471 - Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini:
FLIRT: Federated Learning for Information Retrieval. 3472-3475 - Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
eCom'23: The SIGIR 2023 Workshop on eCommerce. 3476-3478 - Marina Litvak, Irina Rabaev, Ricardo Campos, Alípio Mário Jorge, Adam Jatowt:
The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT'23). 3479-3482 - Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). 3483-3486
Doctoral Consortium
- Catherine Chen:
Quantifying and Advancing Information Retrieval System Explainability. 3487 - Xuming Hu:
Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. 3488 - Pooya Khandel:
Large-Scale Data Processing for Information Retrieval Applications. 3489 - Molly McGregor:
Defining and Measuring Cost, Effort, and Load in Information Retrieval. 3490 - Markus Nilles:
Conversational Bibliographic Search. 3491 - Dipannita Podder:
Resilient Retrieval Models for Large Collection. 3492 - Radin Hamidi Rad:
Neural Architectures for Searching Subgraph Structures. 3493 - Thilina Rajapakse:
Dense Passage Retrieval: Architectures and Augmentation Methods. 3494 - Clemencia Siro:
Evaluating Task-oriented Dialogue Systems with Users. 3495 - Sergey Volokhin:
Exploring User and Item Representation, Justification Generation, and Data Augmentation for Conversational Recommender Systems. 3496 - Yang Zhang:
Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective. 3497
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