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ORCID44th SIGIR 2021: Virtual Event, Canada
- Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai:
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021. ACM 2021, ISBN 978-1-4503-8037-9
Session 1A: Bias and counterfactual learning 1
- Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. 1-10 - Yang Zhang
, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. 11-20 - Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. 21-30 - Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li:
Mitigating Sentiment Bias for Recommender Systems. 31-40 - Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen:
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. 41-50
Session 1B: Recommendation 1
- Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li:
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. 51-60 - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. 61-70 - Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. 71-80 - Deepesh V. Hada, Vijaikumar M, Shirish K. Shevade:
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. 81-91
Session 1C: Searching and Ranking
- Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen:
Group based Personalized Search by Integrating Search Behaviour and Friend Network. 92-101 - Arnon Dagan, Ido Guy, Slava Novgorodov:
An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search. 102-112 - Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. 113-122 - Keping Bi, Qingyao Ai, W. Bruce Croft:
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. 123-132
Session 1D: Social Aspects
- Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. 133-142 - Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim:
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. 143-152 - Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu:
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. 153-162 - Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. 163-172
Session 1E: Knowledge Structures
- Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu:
Tracing Knowledge State with Individual Cognition and Acquisition Estimation. 173-182 - Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. 183-192 - Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng, Xueqing Li:
UGRec: Modeling Directed and Undirected Relations for Recommendation. 193-202 - Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen:
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. 203-212 - Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. 213-222
Session 1F: Applications 1
- Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. 223-232 - Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua:
Hybrid Learning to Rank for Financial Event Ranking. 233-243 - Jiao Li, Xing Xu, Wei Yu, Fumin Shen, Zuo Cao, Kai Zuo, Heng Tao Shen:
Hybrid Fusion with Intra- and Cross-Modality Attention for Image-Recipe Retrieval. 244-254 - Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus:
PreSizE: Predicting Size in E-Commerce using Transformers. 255-264 - Anat Hashavit, Hongning Wang, Raz Lin, Tamar Stern, Sarit Kraus:
Understanding and Mitigating Bias in Online Health Search. 265-274
Session 2A: Bias and Counterfactual Learning 2
- Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. 275-284 - Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi:
Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. 285-294 - Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans:
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics. 295-305 - Navid Rekabsaz, Simone Kopeinik, Markus Schedl:
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. 306-316
Session 2B: Recommendation 2
- Wanqian Zhang, Dayan Wu, Yu Zhou, Bo Li, Weiping Wang, Dan Meng:
Binary Neural Network Hashing for Image Retrieval. 317-326 - Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. 327-336 - Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen:
xLightFM: Extremely Memory-Efficient Factorization Machine. 337-346
Session 2C: Sequences and Sessions
- Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. 347-356 - Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. 357-366 - Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. 367-377 - Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li:
Sequential Recommendation with Graph Neural Networks. 378-387 - Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang:
Category-aware Collaborative Sequential Recommendation. 388-397
Session 2D: Time Matters
- Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa:
Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections. 398-407 - Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. 408-417 - Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo:
Summarize Dates First: A Paradigm Shift in Timeline Summarization. 418-427 - Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. 428-437 - Daniel Cohen:
Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. 438-448
Session 2E: Question Answering
- Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen:
Answer Complex Questions: Path Ranker Is All You Need. 449-458 - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs. 459-469 - Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter:
Ranking User-Generated Content via Multi-Relational Graph Convolution. 470-480 - Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song:
Answering Any-hop Open-domain Questions with Iterative Document Reranking. 481-490 - Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu:
Multimodal Activation: Awakening Dialog Robots without Wake Words. 491-500
Session 2F: Applications 2
- Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su:
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. 501-510 - Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations. 511-521
Session 3A: Conversational IR 1
- Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke:
Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. 522-532 - Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. 533-543 - Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. 544-554 - Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, Ji-Rong Wen:
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. 555-564 - Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. 565-574
Session 3B: Recommendation 3
- Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. 575-584 - Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. 585-594 - Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin:
Package Recommendation with Intra- and Inter-Package Attention Networks. 595-604 - Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme:
A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning. 605-613 - Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang:
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. 614-623
Session 3C: Neural IR
- Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang:
WGCN: Graph Convolutional Networks with Weighted Structural Features. 624-633 - Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin:
Privacy Protection in Deep Multi-modal Retrieval. 634-643 - Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang:
Learning Discriminative Neural Representations for Event Detection. 644-653 - Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff:
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. 654-664 - Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy:
Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. 665-674
Session 3D: Cross-domain IR
- Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua:
MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. 675-684 - Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Video Corpus Moment Retrieval with Contrastive Learning. 685-695 - Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li:
One Person, One Model, One World: Learning Continual User Representation without Forgetting. 696-705 - Yi Xie, Yuqing Sun, Elisa Bertino:
Learning Domain Semantics and Cross-Domain Correlations for Paper Recommendation. 706-715 - Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian:
FedCT: Federated Collaborative Transfer for Recommendation. 716-725
Session 3E: Diversity and Novelty
- Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. 726-735 - Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin, Ji-Rong Wen:
Modeling Intent Graph for Search Result Diversification. 736-746 - Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin:
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. 747-756 - Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. 757-766 - Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee:
Fairness among New Items in Cold Start Recommender Systems. 767-776
Session 3F: Applications 3
- Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao:
Make It Easy: An Effective End-to-End Entity Alignment Framework. 777-786 - Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur:
Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. 787-797 - Fang He, Wang-Chien Lee, Tao-Yang Fu, Zhen Lei:
CINES: Explore Citation Network and Event Sequences for Citation Forecasting. 798-807
Session 4A: Conversational IR 2
- Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. 808-817 - Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammed Hasanuzzaman:
Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization. 818-828 - Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. 829-838 - Yifei Yuan, Wai Lam:
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback. 839-848
Session 4B: Recommendation 4
- Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. 849-858 - Yuqi Qin, Pengfei Wang, Chenliang Li:
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. 859-868 - Chen Chen, Jie Guo, Bin Song:
Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration. 869-878 - Chang-You Tai, Liang-Ying Huang, Chien-Kun Huang, Lun-Wei Ku:
User-Centric Path Reasoning towards Explainable Recommendation. 879-889 - Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. 890-899
Session 4C: Learning to Rank
- Shengyao Zhuang, Guido Zuccon:
How do Online Learning to Rank Methods Adapt to Changes of Intent? 911-920 - Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. 921-931 - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
New Insights into Metric Optimization for Ranking-based Recommendation. 932-941 - Chiqun Zhang, Michael R. Evans, Max Lepikhin, Dragomir Yankov:
Fast Attention-based Learning-To-Rank Model for Structured Map Search. 942-951 - Behrooz Mansouri, Richard Zanibbi, Douglas W. Oard:
Learning to Rank for Mathematical Formula Retrieval. 952-961
Session 4D: Legal IR
- Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma:
Investigating User Behavior in Legal Case Retrieval. 962-972 - Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu:
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. 973-982 - Qian Dong, Shuzi Niu:
Legal Judgment Prediction via Relational Learning. 983-992 - Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang:
Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. 993-1002 - Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. 1003-1012
Session 4E: Fairness
- Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. 1013-1022 - Harrie Oosterhuis:
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness. 1023-1032 - Avijit Ghosh, Ritam Dutt, Christo Wilson:
When Fair Ranking Meets Uncertain Inference. 1033-1043 - Himank Yadav, Zhengxiao Du, Thorsten Joachims:
Policy-Gradient Training of Fair and Unbiased Ranking Functions. 1044-1053 - Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
Towards Personalized Fairness based on Causal Notion. 1054-1063
Session 4F: Adversarial IR
- Mingyang Chen, Junda Lu, Yi Wang, Jianbin Qin, Wei Wang:
DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems. 1064-1073 - Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. 1074-1083 - Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie:
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. 1084-1093 - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. 1094-1103
Session 5A: Multi-modal IR
- Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie:
Dynamic Modality Interaction Modeling for Image-Text Retrieval. 1104-1113 - Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang:
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. 1114-1124 - Zhixiong Zeng, Shuai Wang, Nan Xu, Wenji Mao:
PAN: Prototype-based Adaptive Network for Robust Cross-modal Retrieval. 1125-1134 - Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li:
Multi-Type Textual Reasoning for Product-Aware Answer Generation. 1135-1145 - Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li:
Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. 1146-1156
Session 5B: Exploration and Cold Start
- Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Kun Zhang, Jinmei Luo, Zhaojie Liu, Yanlong Du:
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction. 1157-1166 - Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. 1167-1176 - Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Yanrong Kang, Guihai Chen:
FORM: Follow the Online Regularized Meta-Leader for Cold-Start Recommendation. 1177-1186 - Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. 1187-1196 - Anita Crescenzi, Austin R. Ward, Yuan Li, Rob Capra:
Supporting Metacognition during Exploratory Search with the OrgBox. 1197-1207
Session 5C: Mining and Classification
- Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. 1208-1218 - Zhihao Wen, Yuan Fang, Zemin Liu:
Meta-Inductive Node Classification across Graphs. 1219-1228 - Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu:
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. 1229-1238 - Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen:
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection. 1239-1248 - Lital Kuchy, David Carmel, Thomas Huet, Elad Kravi:
"Did you buy it already?", Detecting Users Purchase-State From Their Product-Related Questions. 1249-1258
Session 5D: Click Models and Prediction
- Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. 1259-1268 - Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu:
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. 1269-1278 - Yuan Cheng, Yanbo Xue:
Looking at CTR Prediction Again: Is Attention All You Need? 1279-1287 - Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. 1288-1297 - Ze Meng, Jinnian Zhang, Yumeng Li, Jiancheng Li, Tanchao Zhu, Lifeng Sun:
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction. 1298-1307
Session 5E: Efficiency
- Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, Jingmin Chen:
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode. 1308-1317 - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng:
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. 1318-1327 - Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang:
Long-Tail Hashing. 1328-1338 - Giulio Ermanno Pibiri, Roberto Trani:
PTHash: Revisiting FCH Minimal Perfect Hashing. 1339-1348 - Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. 1349-1358
Session 6A: Multimedia IR
- Feng He, Qi Wang, Zhifan Feng, Wenbin Jiang, Yajuan Lü, Yong Zhu, Xiao Tan:
Improving Video Retrieval by Adaptive Margin. 1359-1368 - Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie:
Comprehensive Linguistic-Visual Composition Network for Image Retrieval. 1369-1378 - Weixiang Hong, Kaixiang Ji, Jiajia Liu, Jian Wang, Jingdong Chen, Wei Chu:
GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval. 1379-1388 - Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. 1389-1399
Session 6B: Reinforcement Learning and Bandits
- Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Comparison-based Conversational Recommender System with Relative Bandit Feedback. 1400-1409 - Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. 1410-1419 - Yuanchun Li, Oriana Riva:
Glider: A Reinforcement Learning Approach to Extract UI Scripts from Websites. 1420-1430 - Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. 1431-1441
Session 6C: Natural Language and Semantics
- Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Conversations Powered by Cross-Lingual Knowledge. 1442-1451 - Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang:
Transformer Reasoning Network for Personalized Review Summarization. 1452-1461 - Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang:
Leveraging Lead Bias for Zero-shot Abstractive News Summarization. 1462-1471 - Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely:
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. 1472-1482
Session 6D: IR Models
- Shengyao Zhuang, Guido Zuccon:
TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. 1483-1492 - Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. 1493-1502 - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. 1503-1512 - Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. 1513-1522
Session 6E: Evaluation
- Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu, Shaoping Ma:
Standing in Your Shoes: External Assessments for Personalized Recommender Systems. 1523-1533 - Charles L. A. Clarke, Chengxi Luo, Mark D. Smucker:
Evaluation Measures Based on Preference Graphs. 1534-1543 - Daniel McDuff, Paul Thomas, Nick Craswell, Kael Rowan, Mary Czerwinski:
Do Affective Cues Validate Behavioural Metrics for Search? 1544-1553
Perspectives Papers
- Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette:
Current Challenges and Future Directions in Podcast Information Access. 1554-1565 - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. 1566-1576 - Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani:
Towards Multi-Modal Conversational Information Seeking. 1577-1587
Short Research Papers I
- Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He:
AMM: Attentive Multi-field Matching for News Recommendation. 1588-1592 - Anja Reusch, Maik Thiele, Wolfgang Lehner:
An ALBERT-based Similarity Measure for Mathematical Answer Retrieval. 1593-1597 - Sahiti Labhishetty, Chengxiang Zhai:
An Exploration of Tester-based Evaluation of User Simulators for Comparing Interactive Retrieval Systems. 1598-1602 - Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein:
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. 1603-1607 - Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu:
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. 1608-1612 - Sulthana Shams, Daron Anderson, Douglas J. Leith:
Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users. 1613-1616 - Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun:
Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. 1617-1621 - Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma:
Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval. 1622-1626 - Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy:
Counterfactual Explanations for Neural Recommenders. 1627-1631 - Jinpeng Wang, Jieming Zhu, Xiuqiang He:
Cross-Batch Negative Sampling for Training Two-Tower Recommenders. 1632-1636 - Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein:
De-Biased Modeling of Search Click Behavior with Reinforcement Learning. 1637-1641 - Hoang Van Nguyen, Francesco Gelli, Soujanya Poria:
DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph. 1642-1646 - Jae-woong Lee, Seongmin Park, Jongwuk Lee:
Dual Unbiased Recommender Learning for Implicit Feedback. 1647-1651 - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. 1652-1656 - Taegwan Kang, Hwanhee Lee, Byeongjin Choe, Kyomin Jung:
Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation. 1657-1661 - Shubham Chatterjee, Laura Dietz:
Entity Retrieval Using Fine-Grained Entity Aspects. 1662-1666 - Lida Rashidi, Justin Zobel, Alistair Moffat:
Evaluating the Predictivity of IR Experiments. 1667-1671 - Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu:
FedCMR: Federated Cross-Modal Retrieval. 1672-1676 - Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. 1677-1681 - Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah:
Hyperbolic Online Time Stream Modeling. 1682-1686 - Xu Yuan, Dongsheng Duan, Lingling Tong, Lei Shi, Cheng Zhang:
ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation. 1687-1691 - Markus Fischer, Kristof Komlossy, Benno Stein, Martin Potthast, Matthias Hagen:
Identifying Queries in Instant Search Logs. 1692-1696 - Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. 1697-1702 - Yuan Lin, Zhang Xie, Bo Xu, Kan Xu, Hongfei Lin:
Info-flow Enhanced GANs for Recommender. 1703-1707 - Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma:
Investigating Session Search Behavior with Knowledge Graphs. 1708-1712 - Oleg Zendel, J. Shane Culpepper, Falk Scholer:
Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction? 1713-1717 - Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index. 1718-1722 - Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto:
Learning Passage Impacts for Inverted Indexes. 1723-1727 - Prafull Prakash, Julian Killingback, Hamed Zamani:
Learning Robust Dense Retrieval Models from Incomplete Relevance Labels. 1728-1732 - Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen:
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. 1733-1737 - Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang:
Motif-aware Sequential Recommendation. 1738-1742 - Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung:
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. 1743-1747 - Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri:
On the Orthogonality of Bias and Utility in Ad hoc Retrieval. 1748-1752 - Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller:
Passage Retrieval for Outside-Knowledge Visual Question Answering. 1753-1757 - Robin Brochier, Frédéric Béchet:
Predicting Links on Wikipedia with Anchor Text Information. 1758-1762 - Zohreh Ovaisi, Kathryn Vasilaky, Elena Zheleva:
Propensity-Independent Bias Recovery in Offline Learning-to-Rank Systems. 1763-1767 - Denis Kotkov, Alexandr V. Maslov, Mats Neovius:
Revisiting the Tag Relevance Prediction Problem. 1768-1772 - Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu:
RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. 1773-1777 - Jiahao Zhao, Penghui Wei, Wenji Mao:
Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training. 1778-1782 - Jianling Wang, Kaize Ding, James Caverlee:
Sequential Recommendation for Cold-start Users with Meta Transitional Learning. 1783-1787 - Changhao Song, Bo Wang, Qinxue Jiang, Yehua Zhang, Ruifang He, Yuexian Hou:
Social Recommendation with Implicit Social Influence. 1788-1792 - Revanth Gangi Reddy, Bhavani Iyer, Md. Arafat Sultan, Rong Zhang, Avirup Sil, Vittorio Castelli, Radu Florian, Salim Roukos:
Synthetic Target Domain Supervision for Open Retrieval QA. 1793-1797 - Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang:
Temporal Augmented Graph Neural Networks for Session-Based Recommendations. 1798-1802 - Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang:
Text-to-Text Multi-view Learning for Passage Re-ranking. 1803-1807 - Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Mirko Marras:
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. 1808-1812 - Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. 1813-1817 - Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao:
Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems. 1818-1822 - Jihyuk Kim, Young-In Song, Seung-won Hwang:
Web Document Encoding for Structure-Aware Keyphrase Extraction. 1823-1827
Short Research Papers II
- Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen:
Adapted Graph Reasoning and Filtration for Description-Image Retrieval. 1839-1843 - Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu:
Affective Dependency Graph for Sarcasm Detection. 1844-1849 - Gilad Fuchs, Haggai Roitman, Matan Mandelbrod:
Automatic Form Filling with Form-BERT. 1850-1854 - Linan Yue, Qi Liu, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu:
Circumstances enhanced Criminal Court View Generation. 1855-1859 - Xinli Yu, Mohsen Malmir, Xin He, Jiangning Chen, Tong Wang, Yue Wu, Yue Liu, Yang Liu:
Cross Interaction Network for Natural Language Guided Video Moment Retrieval. 1860-1864 - Yi He, Xin Liu, Yiu-Ming Cheung, Shu-Juan Peng, Jinhan Yi, Wentao Fan:
Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval. 1865-1869 - Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang:
DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. 1870-1874 - Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski:
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. 1875-1879 - Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi:
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs. 1880-1884 - Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei:
Deep Position-wise Interaction Network for CTR Prediction. 1885-1889 - Zai Huang, Mingyuan Tao, Bufeng Zhang:
Deep User Match Network for Click-Through Rate Prediction. 1890-1894 - Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Jianxin Liao:
Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service. 1895-1899 - Fatma Elsafoury, Stamos Katsigiannis, Steven R. Wilson, Naeem Ramzan:
Does BERT Pay Attention to Cyberbullying? 1900-1904 - Jiaojiao Zhu, Wentao Fan:
ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models. 1905-1909 - Joel Mackenzie, Matthias Petri, Alistair Moffat:
Faster Index Reordering with Bipartite Graph Partitioning. 1910-1914 - Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He:
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. 1915-1919 - Long Xiang, Xiao Yan, Lan Lu, Bo Tang:
GAIPS: Accelerating Maximum Inner Product Search with GPU. 1920-1924 - A. B. Siddique, Fuad T. Jamour, Luxun Xu, Vagelis Hristidis:
Generalized Zero-shot Intent Detection via Commonsense Knowledge. 1925-1929 - Yanran Li, Wenjie Li, Zhitao Wang:
Graph-Structured Context Understanding for Knowledge-grounded Response Generation. 1930-1934 - Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto:
Hierarchical Dependence-aware Evaluation Measures for Conversational Search. 1935-1939 - Ziming Li, Julia Kiseleva, Maarten de Rijke:
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. 1940-1944 - Chang-You Tai, Chien-Kun Huang, Liang-Ying Huang, Lun-Wei Ku:
Knowledge Based Hyperbolic Propagation. 1945-1949 - Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo:
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. 1950-1954 - Zujie Liang, Haifeng Hu, Jiaying Zhu:
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering. 1955-1959 - Liqiang Song, Mengqiu Yao, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao, Juan Wen, Xin Yu:
LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing. 1960-1964 - Zheng Liu, Xiaohan Li, Zeyu You, Tao Yang, Wei Fan, Philip S. Yu:
Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network. 1965-1969 - Yinan Sun, Kang Yin, Hehuan Liu, Si Li, Yajing Xu, Jun Guo:
Meta-Learned Specific Scenario Interest Network for User Preference Prediction. 1970-1974 - Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Jan Baumbach, David B. Blumenthal:
On the Privacy of Federated Pipelines. 1975-1979 - Tetsuya Sakai:
On the Two-Sample Randomisation Test for IR Evaluation. 1980-1984 - Xinwei Long, Shuzi Niu, Yucheng Li:
Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction. 1985-1989 - Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. 1990-1994 - Ohad Rozen, Joel Oren, Ariel Raviv:
Predicting User Demography and Device from News Comments. 1995-1999 - Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou:
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. 2000-2004 - Congying Xia, Caiming Xiong, Philip S. Yu:
Pseudo Siamese Network for Few-shot Intent Generation. 2005-2009 - Tsun-Hsien Tang, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Retrieving Implicit Information for Stock Movement Prediction. 2010-2014 - Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta:
Retrieving Skill-Based Teams from Collaboration Networks. 2015-2019 - Zhenyu He, Ce Li, Fan Zhou, Yi Yang:
Rumor Detection on Social Media with Event Augmentations. 2020-2024 - Yingchi Liu, Quanzhi Li, Changlong Sun, Luo Si:
Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information. 2025-2030 - Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. 2031-2035 - Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. 2036-2040 - Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang:
Towards an Online Empathetic Chatbot with Emotion Causes. 2041-2045 - Chen Shi, Yuxiang Hu, Zengming Zhang, Liang Shao, Feijun Jiang:
User Feedback and Ranking in-a-Loop: Towards Self-Adaptive Dialogue Systems. 2046-2050 - Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. 2051-2055 - Sheikh Muhammad Sarwar, Felipe Moraes, Jiepu Jiang, James Allan:
Utility of Missing Concepts in Query-biased Summarization. 2056-2060 - Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari:
Variational Autoencoders for Top-K Recommendation with Implicit Feedback. 2061-2065 - Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin:
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. 2066-2070 - Jiayi Wei, Xilian Li, Yi Zhang, Xin Eric Wang:
Visual Question Rewriting for Increasing Response Rate. 2071-2075 - Kachun Lo, Tsukasa Ishigaki:
X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-Embedded Edges. 2076-2080
Short Research Papers III
- Iurii Mokrii, Leonid Boytsov, Pavel Braslavski:
A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models. 2081-2085 - Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu:
Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. 2086-2090 - Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Ruifeng Xu, Fengqing Qin:
Accelerating Neural Architecture Search for Natural Language Processing with Knowledge Distillation and Earth Mover's Distance. 2091-2095 - Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. 2096-2100 - Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang, James Allan:
AutoName: A Corpus-Based Set Naming Framework. 2101-2105 - Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. 2106-2110 - Hojin Yang, Tianshu Shen, Scott Sanner:
Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems. 2111-2115 - Hoang Van, Vikas Yadav, Mihai Surdeanu:
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. 2116-2120 - Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li:
CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. 2121-2125 - Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou:
Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models. 2126-2130 - Chun Jiang Zhu, Qinqing Liu, Jinbo Bi:
Communication Efficient Distributed Hypergraph Clustering. 2131-2135 - Carlos Lassance, Thibault Formal, Stéphane Clinchant:
Composite Code Sparse Autoencoders for First Stage Retrieval. 2136-2140 - Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu:
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. 2141-2145 - Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, Bo Long:
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization. 2146-2150 - Xingyi Cheng:
Dual-View Distilled BERT for Sentence Embedding. 2151-2155 - Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan:
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. 2156-2160 - Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng:
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. 2161-2165 - Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li:
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. 2166-2171 - Viet Dac Lai, Minh Van Nguyen, Thien Huu Nguyen, Franck Dernoncourt:
Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection. 2172-2176 - Yunsheng Pang, Yunxiang Zhao, Dongsheng Li:
Graph Pooling via Coarsened Graph Infomax. 2177-2181 - Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li:
GraphPAS: Parallel Architecture Search for Graph Neural Networks. 2182-2186 - Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen:
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. 2187-2191 - Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee:
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. 2192-2196 - Chinmay Rane, Gaël Dias, Alexis Lechervy, Asif Ekbal:
Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. 2197-2201 - Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. 2202-2206 - Minghan Li, Éric Gaussier:
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. 2207-2211 - Chanyoung Chung, Joyce Jiyoung Whang:
Knowledge Graph Embedding via Metagraph Learning. 2212-2216 - Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. 2217-2221 - Chih-Hen Lee, Jun-En Ding, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang:
LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. 2222-2226 - Jie Gao, Fei Hao, Geyong Min, Zhipeng Cai:
Maximal Multipolarized Cliques Search in Signed Networks. 2227-2231 - Zhiyi Jiang, Jianliang Gao, Xinqi Lv:
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. 2232-2236 - Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. 2237-2241 - Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas:
NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. 2242-2246 - Ben Carterette, Rosie Jones, Gareth J. F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, Ian Soboroff:
Podcast Metadata and Content: Episode Relevance and Attractiveness in Ad Hoc Search. 2247-2251 - Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski:
Propensity-scored Probabilistic Label Trees. 2252-2256 - Yue Zhang, Hongliang Fei, Ping Li:
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. 2257-2262 - Séverine Affeldt, Lazhar Labiod, Mohamed Nadif:
Regularized Dual-PPMI Co-clustering for Text Data. 2263-2267 - Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin:
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. 2268-2272 - Dongqi Fu, Jingrui He:
SDG: A Simplified and Dynamic Graph Neural Network. 2273-2277 - Elias Bassani, Gabriella Pasi:
Semantic Query Labeling Through Synthetic Query Generation. 2278-2282 - Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. 2283-2287 - Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant:
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. 2288-2292 - Alison Sneyd, Mark Stevenson:
Stopping Criteria for Technology Assisted Reviews based on Counting Processes. 2293-2297 - Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu:
Targeted Attack and Defense for Deep Hashing. 2298-2302 - Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. 2303-2307 - Xupeng Zou, Zhongnan Zhang, Zhen He, Liang Shi:
Unsupervised Ensemble Learning with Noisy Label Correction. 2308-2312 - Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang:
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. 2313-2317 - Lukas Brückner, Ioannis Arapakis, Luis A. Leiva:
When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search. 2318-2322 - Jinjin Shao, Yifan Qiao, Shiyu Ji, Tao Yang:
Window Navigation with Adaptive Probing for Executing BlockMax WAND. 2323-2327
Resource Papers I
- Ahmed Hamdi, Elvys Linhares Pontes, Emanuela Boros, Thi Tuyet Hai Nguyen, Günter Hackl, José G. Moreno, Antoine Doucet:
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers. 2328-2334 - Iain Mackie, Jeffrey Dalton, Andrew Yates:
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. 2335-2341 - Yixiao Ma, Yunqiu Shao, Yueyue Wu, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma:
LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System. 2342-2348 - Tilahun Yeshambel, Josiane Mothe, Yaregal Assabie:
Morphologically Annotated Amharic Text Corpora. 2349-2355 - Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira:
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. 2356-2362 - Lucas Lima de Oliveira, Regis Kruel Romeu, Viviane Pereira Moreira:
REGIS: A Test Collection for Geoscientific Documents in Portuguese. 2363-2368 - Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. 2369-2375 - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors. 2376-2382
Resource Papers II
- Igor Vatolkin, Philipp Ginsel, Günter Rudolph:
Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade. 2383-2389 - Hideaki Joko, Faegheh Hasibi, Krisztian Balog, Arjen P. de Vries:
Conversational Entity Linking: Problem Definition and Datasets. 2390-2397 - Maik Fröbe, Janek Bevendorff, Lukas Gienapp, Michael Völske, Benno Stein, Martin Potthast, Matthias Hagen:
CopyCat: Near-Duplicates Within and Between the ClueWeb and the Common Crawl. 2398-2404 - Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia:
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. 2405-2414 - Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang:
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. 2415-2421 - Ellen M. Voorhees, Kirk Roberts:
On the Quality of the TREC-COVID IR Test Collections. 2422-2428 - Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian:
Simplified Data Wrangling with ir_datasets. 2429-2436 - KayYen Wong, Miriam Redi, Diego Sáez-Trumper:
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia. 2437-2442 - Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. 2443-2449
Resource Papers III
- Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu, Hsin-liang Oliver Chen:
A Test Collection for Ad-hoc Dataset Retrieval. 2450-2456 - Dmitri Goldenberg, Pavel Levin:
Booking.com Multi-Destination Trips Dataset. 2457-2462 - Lei Li, Yongfeng Zhang, Li Chen:
EXTRA: Explanation Ranking Datasets for Explainable Recommendation. 2463-2469 - Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen:
Pchatbot: A Large-Scale Dataset for Personalized Chatbot. 2470-2477 - Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog:
POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation. 2478-2484 - Dina Sayed, Mohamed Nour, Heiko Schuldt:
Seer-Dock: A General-Purpose Dockerized Scholarly Document Collection and Management Framework. 2485-2490 - Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti:
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. 2491-2498 - Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. 2499-2506 - Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff:
TripClick: The Log Files of a Large Health Web Search Engine. 2507-2513 - Zhiyu Chen, Shuo Zhang, Brian D. Davison:
WTR: A Test Collection for Web Table Retrieval. 2514-2520
Demonstration Papers I
- Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin:
Chatty Goose: A Python Framework for Conversational Search. 2521-2525 - Dominic Seyler, Wei Liu, Yunan Zhang, XiaoFeng Wang, ChengXiang Zhai:
DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning. 2526-2530 - Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun:
OpenMatch: An Open Source Library for Neu-IR Research. 2531-2535 - Bevan Koopman, Tracey Wright, Natacha Omer, Veronica McCabe, Guido Zuccon:
Precision Medicine Search for Paediatric Oncology. 2536-2540 - Wei Zhong, Jimmy Lin:
PYA0: A Python Toolkit for Accessible Math-Aware Search. 2541-2545 - Markus Nilles, Lorik Dumani, Ralf Schenkel:
QuARk: A GUI for Quality-Aware Ranking of Arguments. 2546-2549 - Martin Potthast, Sebastian Günther, Janek Bevendorff, Jan Philipp Bittner, Alexander Bondarenko, Maik Fröbe, Christian Kahmann, Andreas Niekler, Michael Völske, Benno Stein, Matthias Hagen:
The Information Retrieval Anthology. 2550-2555
Demonstration Papers II
- Wei Emma Zhang, Miao Liu, Alan Pallath, Gokul Tamilventhan:
A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections. 2556-2559 - Jean Lee, Hoyoul Luis Youn, Nicholas Stevens, Josiah Poon, Soyeon Caren Han:
FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications. 2560-2564 - Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth:
GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval. 2565-2569 - Austin R. Ward, Robert Capra:
OrgBox: Supporting Cognitive and Metacognitive Activities During Exploratory Search. 2570-2574 - Matthias Springstein, Eric Müller-Budack, Ralph Ewerth:
QuTI! Quantifying Text-Image Consistency in Multimodal Documents. 2575-2579 - Sayantan Polley, Rashmi Raju Koparde, Akshaya Bindu Gowri, Maneendra Perera, Andreas Nürnberger:
Towards Trustworthiness in the Context of Explainable Search. 2580-2584 - Nilavra Bhattacharya, Jacek Gwizdka:
YASBIL: Yet Another Search Behaviour (and) Interaction Logger. 2585-2589
Demonstration Papers III
- Harrisen Scells, Jimmy, Guido Zuccon:
Big Brother: A Drop-In Website Interaction Logging Service. 2590-2594 - Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates:
DiffIR: Exploring Differences in Ranking Models' Behavior. 2595-2599 - Austin R. Ward, Yiyin Gu, Sandeep Avula, Praneeth Chakravarthula:
Interacting with Information in Immersive Virtual Environments. 2600-2604 - Jun Wang, Bei Yu:
News2PubMed: A Browser Extension for Linking Health News to Medical Literature. 2605-2609 - Kunpeng Qin, Harrisen Scells, Guido Zuccon:
PECAN: A Platform for Searching Chat Conversations. 2610-2614 - Hanyu Li, Hongyu Lu, Songhao Huang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma:
Privacy-Aware Remote Information Retrieval User Experiments Logging Tool. 2615-2619 - Maciej Rybinski, Sarvnaz Karimi, Aleney Khoo:
Science2Cure: A Clinical Trial Search Prototype. 2620-2624
SIRIP papers
- Nikhil Rao:
Learning with Little Data: Industry Challenges and Innovations. 2625-2626 - Shiri Dori-Hacohen, Keen Sung, Jengyu Chou, Julian Lustig-Gonzalez:
Restoring Healthy Online Discourse by Detecting and Reducing Controversy, Misinformation, and Toxicity Online. 2627-2628 - Viet Ha-Thuc, Matthew Wood, Yunli Liu, Jagadeesan Sundaresan:
From Producer Success to Retention: A New Role of Search and Recommendation Systems on Marketplaces. 2629-2630 - Dmitri Goldenberg:
Putting the Role of Personalization into Context. 2631-2632 - Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang:
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. 2633-2634 - Feng-Lin Li, Zhongzhou Zhao, Qin Lu, Xuming Lin, Hehong Chen, Bo Chen, Liming Pu, Jiashuo Zhang, Fu Sun, Xikai Liu, Liqun Xie, Qi Huang, Ji Zhang, Haiqing Chen:
AliMe Avatar: Multi-modal Content Production and Presentation for Live-streaming E-commerce. 2635-2636 - Guohai Xu, Yan Shao, Chenliang Li, Feng-Lin Li, Bin Bi, Ji Zhang, Haiqing Chen:
AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. 2637-2638 - Deepanshi Seth, Rukma Talwadker, Tridib Mukherjee, Usama Chitapure, Nagesh Adiga, Avantika Gupta:
AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns. 2639-2640 - Davide Liu, George Philippe Farajalla, Alexandre Boulenger:
Transformer-based Banking Products Recommender System. 2641-2642
Tutorials
- Ruoyuan Gao, Chirag Shah:
Addressing Bias and Fairness in Search Systems. 2643-2646 - Liang Pang, Qingyao Ai, Jun Xu:
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. 2647-2650 - Lingfei Wu, Yu Chen, Heng Ji, Bang Liu:
Deep Learning on Graphs for Natural Language Processing. 2651-2653 - Yunqi Li, Yingqiang Ge, Yongfeng Zhang:
Tutorial on Fairness of Machine Learning in Recommender Systems. 2654-2657 - Huazheng Wang, Yiling Jia, Hongning Wang:
Interactive Information Retrieval with Bandit Feedback. 2658-2661 - Chengxiang Zhai:
Interactive Information Retrieval: Models, Algorithms, and Evaluation. 2662-2665 - Andrew Yates, Rodrigo Nogueira, Jimmy Lin:
Pretrained Transformers for Text Ranking: BERT and Beyond. 2666-2668 - Alexander Kuhnle, Miguel Aroca-Ouellette, Anindya Basu, Murat Sensoy, John Reid, Dell Zhang:
Reinforcement Learning for Information Retrieval. 2669-2672 - Dilek Küçük, Fazli Can:
Stance Detection: Concepts, Approaches, Resources, and Outstanding Issues. 2673-2676
Workshops
- Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen:
CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. 2677-2680 - Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. 2681-2684 - Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke:
ECOM'21: The SIGIR 2021 Workshop on eCommerce. 2685-2688 - Theo Huibers, Monica Landoni, Emiliana Murgia, Maria Soledad Pera:
IR for Children 2000-2020: Where Are We Now? 2689-2692 - Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). 2693-2696 - Krisztian Balog, David Maxwell, Paul Thomas, Shuo Zhang:
Sim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation. 2697-2698
Doctoral Consortium
- Jie Dai:
Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement. 2699 - Behrooz Mansouri:
Embedding Formulae and Text for Improved Math Retrieval. 2700 - Guglielmo Faggioli:
Enabling Performance Prediction in Information Retrieval Evaluation. 2701 - Marcos Fernández-Pichel:
Estimating the Reliability of Health-related Search Results. 2702 - Sabine Wehnert:
HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents. 2703 - Congbo Ma:
Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge. 2704 - Vít Novotný:
Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information. 2705 - Oleg Zendel:
New Perspectives to Query Performance Prediction Evaluation. 2706 - Alaa El-Ebshihy:
Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization. 2707 - Cinthia Sánchez:
Transfer Learning for the Multilingual and Multi-Domain Classification of Messages Relating to Crises. 2708 - Tim Draws:
Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics. 2709
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