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ORCID45th SIGIR 2022: Madrid, Spain
- Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai:
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. ACM 2022, ISBN 978-1-4503-8732-3
Keynote Talks
- Alistair Moffat:
Users: Can't Work With Them, Can't Work Without Them? 1 - Eneko Agirre:
Few-shot Information Extraction is Here: Pre-train, Prompt and Entail. 2 - Jaime Teevan:
Searching for a New and Better Future of Work. 3-4 - Ruhi Sarikaya:
Intelligent Conversational Agents for Ambient Computing. 5
Topic 1: Bias in IR
- Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai:
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. 6-17 - Shengyao Zhuang, Hang Li, Guido Zuccon
:
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. 18-28 - Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee:
Bilateral Self-unbiased Learning from Biased Implicit Feedback. 29-39 - Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang:
Interpolative Distillation for Unifying Biased and Debiased Recommendation. 40-49 - Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. 50-59 - Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao:
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. 60-69
Topic 2: Collaborative Filtering
- Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang:
Hypergraph Contrastive Collaborative Filtering. 70-79 - Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang:
Geometric Disentangled Collaborative Filtering. 80-90 - Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. 91-101 - Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen:
Improving Implicit Alternating Least Squares with Ring-based Regularization. 102-111 - Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Filtering Networks for Recommendation. 112-121 - Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao:
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. 122-132
Topic 3: Conversational IR
- Shuo Zhang, Mu-Chun Wang, Krisztian Balog:
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems. 133-143 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Conversational Question Answering on Heterogeneous Sources. 144-154 - Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua:
Structured and Natural Responses Co-generation for Conversational Search. 155-164 - Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
Variational Reasoning about User Preferences for Conversational Recommendation. 165-175 - Kelong Mao, Zhicheng Dou, Hongjin Qian:
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. 176-186 - Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. 187-200 - Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao:
COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas. 201-211 - Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. 212-222 - Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. 223-233 - Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen:
Generating Clarifying Questions with Web Search Results. 234-244 - Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu:
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. 245-255 - Chenhao Hu, Shuhua Huang, Yansen Zhang, Yubao Liu:
Learning to Infer User Implicit Preference in Conversational Recommendation. 256-266
Topic 4: Cross Domain IR
- Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang:
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. 267-277 - Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai, Heng Tao Shen:
Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval. 278-289 - Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li:
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. 290-300 - Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu:
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. 301-311 - Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen:
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. 312-321
Topic 5: CTR and Conversion Rate Prediction
- Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen:
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction. 322-331 - Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang:
NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. 332-342 - Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. 343-352 - Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao:
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. 353-362 - Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu:
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. 363-372
Topic 6: Domain-Specific IR
- Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Target-aware Abstractive Related Work Generation with Contrastive Learning. 373-383 - Sebastian Gomes, Miriam L. Boon, Orland Hoeber:
A Study of Cross-Session Cross-Device Search Within an Academic Digital Library. 384-394 - Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi:
DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. 395-404 - Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu:
Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing. 405-415 - Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang:
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. 416-426 - Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen:
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. 427-437 - Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang, Shaoping Ma:
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search. 438-448 - Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng:
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. 449-459 - Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval. 460-470 - Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Few-shot Node Classification on Attributed Networks with Graph Meta-learning. 471-481 - Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang:
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. 482-491 - Limeng Cui, Dongwon Lee:
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums. 492-501 - Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou:
Recognizing Medical Search Query Intent by Few-shot Learning. 502-512
Topic 7: Efficiency
- Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin:
Single-shot Embedding Dimension Search in Recommender System. 513-522 - Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. 523-532 - Yiling Jia, Hongning Wang:
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. 533-545 - Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. 546-555
Topic 8: Evaluation and User Studies
- David Carmel, Nachshon Cohen, Amir Ingber, Elad Kravi:
IR Evaluation and Learning in the Presence of Forbidden Documents. 556-566 - Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells:
Human Preferences as Dueling Bandits. 567-577 - Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi:
A Flexible Framework for Offline Effectiveness Metrics. 578-587 - Enrique Amigó, Stefano Mizzaro, Damiano Spina:
Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That. 588-598 - Fernando Diaz, Andres Ferraro:
Offline Retrieval Evaluation Without Evaluation Metrics. 599-609 - Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Information Need Awareness: An EEG Study. 610-621 - Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. 622-632 - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang, Shaoping Ma:
Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals. 633-645
Topic 9: Explainable Search and Recommendation
- Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. 646-656 - Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. 657-668 - Puxuan Yu, Razieh Rahimi, James Allan:
Towards Explainable Search Results: A Listwise Explanation Generator. 669-680 - Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang:
Explainable Fairness in Recommendation. 681-691 - Zefeng Cai, Zerui Cai:
PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation. 692-702
Topic 10: Fairness in IR
- Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. 703-714 - Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke:
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. 715-725 - Amifa Raj, Michael D. Ekstrand:
Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison. 726-736 - Virginie Do, Nicolas Usunier:
Optimizing Generalized Gini Indices for Fairness in Rankings. 737-747 - Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model. 748-758 - Maria Heuss, Fatemeh Sarvi, Maarten de Rijke:
Fairness of Exposure in Light of Incomplete Exposure Estimation. 759-769 - Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo:
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. 770-779
Topic 11: IR Models
- Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. 780-790 - Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon:
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. 791-802 - Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos André Gonçalves:
Risk-Sensitive Deep Neural Learning to Rank. 803-813 - Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang:
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. 814-824 - Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. 825-836 - Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. 837-847 - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. 848-858 - Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang:
Co-clustering Interactions via Attentive Hypergraph Neural Network. 859-869 - Bo Zhang, Chen Zhang, Fang Ma, Dawei Song:
Adaptable Text Matching via Meta-Weight Regulator. 870-879
Topic 12: Knowledge Graphs
- Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao:
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. 893-903 - Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. 904-915 - Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun:
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. 916-926 - Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen:
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding. 927-937 - Peng Wang, Jiangheng Wu, Xiaohang Chen:
Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training. 938-948
Topic 13: Multi- and Cross-modal IR
- Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen, Wei Chu:
CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval. 949-959 - Jialin Tian, Kai Wang, Xing Xu, Zuo Cao, Fumin Shen, Heng Tao Shen:
Multimodal Disentanglement Variational AutoEncoders for Zero-Shot Cross-Modal Retrieval. 960-969 - Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang:
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. 970-981 - Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li, Zhiyong Cheng:
Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval. 982-991 - Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie:
V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. 992-1001
Topic 14: Multimedia IR
- Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv, Yuxin Peng:
Learn from Unlabeled Videos for Near-duplicate Video Retrieval. 1002-1011 - Yida Zhao, Yuqing Song, Qin Jin:
Progressive Learning for Image Retrieval with Hybrid-Modality Queries. 1012-1021 - Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu, Xi Zhou:
You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos. 1022-1032 - Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen, Xiaowei Guo, Huyang Sun, Yu-Gang Jiang:
Video Moment Retrieval from Text Queries via Single Frame Annotation. 1033-1043
Topic 15: NLP and Semantics
- Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, Suge Wang:
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance. 1044-1054 - Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. 1055-1065 - Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. 1066-1076 - Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng:
Contrastive Learning with Hard Negative Entities for Entity Set Expansion. 1077-1086 - Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen:
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate. 1087-1097 - Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. 1098-1109 - Rui Li, Wenlin Zhao, Cheng Yang, Sen Su:
A Dual-Expert Framework for Event Argument Extraction. 1110-1121 - Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu:
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. 1122-1132
Topic 16: POI and News Recommendations
- Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. 1133-1143 - Song Yang, Jiamou Liu, Kaiqi Zhao:
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. 1144-1153 - Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang:
Learning Graph-based Disentangled Representations for Next POI Recommendation. 1154-1163 - Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. 1164-1173 - Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong:
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. 1174-1184 - Shansan Gong, Kenny Q. Zhu:
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. 1185-1195
Topic 17: Question Answering
- Valeria Bolotova, Vladislav Blinov, Falk Scholer, W. Bruce Croft, Mark Sanderson:
A Non-Factoid Question-Answering Taxonomy. 1196-1207 - Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad:
QUASER: Question Answering with Scalable Extractive Rationalization. 1208-1218 - Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang:
PTAU: Prompt Tuning for Attributing Unanswerable Questions. 1219-1229 - Haitian Yang, Xuan Zhao, Yan Wang, Min Li, Wei Chen, Weiqing Huang:
DGQAN: Dual Graph Question-Answer Attention Networks for Answer Selection. 1230-1239
Topic 18: Recommender Systems
- Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke:
ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. 1240-1250 - Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. 1251-1261 - Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen:
Unify Local and Global Information for Top-N Recommendation. 1262-1272 - Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
Less is More: Reweighting Important Spectral Graph Features for Recommendation. 1273-1282 - Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. 1283-1293 - Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen:
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. 1294-1303 - Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang:
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. 1304-1315 - Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. 1316-1325 - Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang:
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. 1326-1335 - Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
Multi-Level Interaction Reranking with User Behavior History. 1336-1346 - Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. 1347-1357 - Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. 1358-1368 - Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu:
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. 1369-1378 - Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli:
Privacy-Preserving Synthetic Data Generation for Recommendation Systems. 1379-1389 - Yuntao Du, Xinjun Zhu, Lu Chen, Baihua Zheng, Yunjun Gao:
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. 1390-1400 - Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen:
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. 1401-1411 - Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng:
Self-Guided Learning to Denoise for Robust Recommendation. 1412-1422 - Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Ximing Li, Xuefeng Yang, Xiaoyue Feng:
Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates. 1423-1433 - Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. 1434-1443
Topic 19: Search and Ranking
- Shengyao Zhuang, Guido Zuccon:
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. 1444-1454 - Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries:
Entity-aware Transformers for Entity Search. 1455-1465 - Shubham Chatterjee, Laura Dietz:
BERT-ER: Query-specific BERT Entity Representations for Entity Ranking. 1466-1477 - Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin:
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. 1478-1489 - Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin:
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. 1490-1501 - Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao, Zhicheng Dou:
Webformer: Pre-training with Web Pages for Information Retrieval. 1502-1512 - Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. 1513-1523 - Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, Shaoping Ma:
Axiomatically Regularized Pre-training for Ad hoc Search. 1524-1534 - Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. 1535-1544
Topic 20: Sentiment Analysis and Classification
- Jiandian Zeng, Tianyi Liu, Jiantao Zhou:
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities. 1545-1554 - Hao Fei, Chenliang Li, Donghong Ji, Fei Li:
Mutual Disentanglement Learning for Joint Fine-Grained Sentiment Classification and Controllable Text Generation. 1555-1565 - Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. 1566-1576 - Rui Liu, Jiahao Cao, Nannan Sun, Lei Jiang:
Aspect Feature Distillation and Enhancement Network for Aspect-based Sentiment Analysis. 1577-1587 - Ambreen Nazir, Yuan Rao:
IAOTP: An Interactive End-to-End Solution for Aspect-Opinion Term Pairs Extraction. 1588-1598
Topic 21: Sequential Recommendations
- Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. 1599-1610 - Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. 1611-1621 - Kaiyuan Li, Pengfei Wang, Chenliang Li:
Multi-Agent RL-based Information Selection Model for Sequential Recommendation. 1622-1631 - Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li:
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. 1632-1641 - Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang:
Multi-Behavior Sequential Transformer Recommender. 1642-1652 - Yuli Liu, Christian J. Walder, Lexing Xie:
Determinantal Point Process Likelihoods for Sequential Recommendation. 1653-1663
Topic 22: Session-based and Group Recommendation
- Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang:
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. 1664-1673 - Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun:
An Attribute-Driven Mirror Graph Network for Session-based Recommendation. 1674-1683 - Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. 1684-1693 - Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang:
AutoGSR: Neural Architecture Search for Graph-based Session Recommendation. 1694-1704 - Qilong Han, Chi Zhang, Rui Chen, Riwei Lai, Hongtao Song, Li Li:
Multi-Faceted Global Item Relation Learning for Session-Based Recommendation. 1705-1715
Topic 23: Social Aspects
- Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek:
Towards Suicide Ideation Detection Through Online Conversational Context. 1716-1727 - Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. 1728-1738 - Krishanu Maity, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya:
A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes. 1739-1749 - Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Bias Mitigation for Toxicity Detection via Sequential Decisions. 1750-1760 - Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao:
A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning. 1761-1772
Short Research Papers
- Artsiom Sauchuk, James Thorne, Alon Y. Halevy, Nicola Tonellotto, Fabrizio Silvestri:
On the Role of Relevance in Natural Language Processing Tasks. 1785-1789 - Ramraj Chandradevan, Eugene Yang, Mahsa Yarmohammadi, Eugene Agichtein:
Learning to Enrich Query Representation with Pseudo-Relevance Feedback for Cross-lingual Retrieval. 1790-1795 - Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. 1796-1801 - Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. 1802-1806 - Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald:
Multi-modal Graph Contrastive Learning for Micro-video Recommendation. 1807-1811 - Qihang Zhao:
RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation. 1812-1816 - Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi:
Item-Provider Co-learning for Sequential Recommendation. 1817-1822 - Jiazhen Lou, Hong Wen, Fuyu Lv, Jing Zhang, Tengfei Yuan, Zhao Li:
Re-weighting Negative Samples for Model-Agnostic Matching. 1823-1827 - Chuang Fan, Daoxing Liu, Libo Qin, Yue Zhang, Ruifeng Xu:
Towards Event-level Causal Relation Identification. 1828-1833 - Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Chen Chen, Guoren Wang:
Exploring Heterogeneous Data Lake based on Unified Canonical Graphs. 1834-1838 - Mirko Marras, Ludovico Boratto, Guilherme Ramos, Gianni Fenu:
Regulating Group Exposure for Item Providers in Recommendation. 1839-1843 - Fangxin Liu, Haomin Li, Xiaokang Yang, Li Jiang:
L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks. 1844-1848 - Yanhua Huang, Hangyu Wang, Yiyun Miao, Ruiwen Xu, Lei Zhang, Weinan Zhang:
Neural Statistics for Click-Through Rate Prediction. 1849-1853 - Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang:
Adversarial Graph Perturbations for Recommendations at Scale. 1854-1858 - Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang:
Graph Capsule Network with a Dual Adaptive Mechanism. 1859-1864 - Chao Yu, Yi Shen, Yue Mao:
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification. 1865-1869 - Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. 1870-1874 - Yuncong Li, Fang Wang, Sheng-Hua Zhong:
Training Entire-Space Models for Target-oriented Opinion Words Extraction. 1875-1879 - Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas:
Zero-shot Query Contextualization for Conversational Search. 1880-1884 - Ishaan Kumar, Yaochen Hu, Yingxue Zhang:
EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems. 1885-1889 - Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao, Non Non:
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction. 1890-1894 - Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao:
Enhancing Top-N Item Recommendations by Peer Collaboration. 1895-1900 - Antonio Mallia, Joel Mackenzie, Torsten Suel, Nicola Tonellotto:
Faster Learned Sparse Retrieval with Guided Traversal. 1901-1905 - Yu Liu, Huai Chen, Lianghua Huang, Di Chen, Bin Wang, Pan Pan, Lisheng Wang:
Animating Images to Transfer CLIP for Video-Text Retrieval. 1906-1911 - Shih-Yang Liu, Hsien-Hao Chen, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang:
IPR: Interaction-level Preference Ranking for Explicit feedback. 1912-1916 - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. 1917-1921 - Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Xueming Qian:
PERD: Personalized Emoji Recommendation with Dynamic User Preference. 1922-1926 - Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. 1927-1932 - Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu:
Hierarchical Task-aware Multi-Head Attention Network. 1933-1937 - Lei Zhang, Min Yang, Chengming Li, Ruifeng Xu:
Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. 1938-1943 - Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. 1944-1949 - Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong:
Denoising Time Cycle Modeling for Recommendation. 1950-1955 - Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. 1956-1962 - Ladislav Peska, Patrik Dokoupil:
Towards Results-level Proportionality for Multi-objective Recommender Systems. 1963-1968 - Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang:
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. 1969-1973 - Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. 1974-1978 - Hansi Zeng, Hamed Zamani, Vishwa Vinay:
Curriculum Learning for Dense Retrieval Distillation. 1979-1983 - Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. 1984-1989 - Mostafa Yadegari, Ehsan Kamalloo, Davood Rafiei:
Detecting Frozen Phrases in Open-Domain Question Answering. 1990-1996 - Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li:
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. 1997-2002 - Yawen Zeng:
Point Prompt Tuning for Temporally Language Grounding. 2003-2007 - Chengqian Gao, Ke Xu, Kuangqi Zhou, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao:
Value Penalized Q-Learning for Recommender Systems. 2008-2012 - Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng:
Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. 2013-2017 - Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke:
Understanding User Satisfaction with Task-oriented Dialogue Systems. 2018-2023 - Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu:
Distilling Knowledge on Text Graph for Social Media Attribute Inference. 2024-2028 - Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang, Wenliang Zhong:
Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation. 2029-2033 - Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li:
Empowering Next POI Recommendation with Multi-Relational Modeling. 2034-2038 - Rezvaneh Rezapour, Sravana Reddy, Rosie Jones, Ian Soboroff:
What Makes a Good Podcast Summary? 2039-2046 - Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang:
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. 2047-2052 - Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. 2053-2058 - Miriam Farber, David Carmel, Lital Kuchy, Avihai Mejer:
Analyzing the Support Level for Tips Extracted from Product Reviews. 2059-2064 - Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang, Shuai Tang:
Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method. 2065-2069 - Qinglin Zhu, Bin Liang, Jingyi Sun, Jiachen Du, Lanjun Zhou, Ruifeng Xu:
Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge. 2070-2075 - Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu, Ruifeng Xu:
Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. 2076-2081 - Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian J. McAuley:
Coarse-to-Fine Sparse Sequential Recommendation. 2082-2086 - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
UserBERT: Pre-training User Model with Contrastive Self-supervision. 2087-2092 - Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. 2093-2098 - Dake Zhang, Amir Vakili Tahami, Mustafa Abualsaud, Mark D. Smucker:
Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search. 2099-2104 - Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr:
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. 2105-2109 - Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Hong Wen, Luping Wang, Chengjun Mao, Bo Cao:
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. 2110-2114 - To Eun Kim, Aldo Lipani:
A Multi-Task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems. 2115-2119 - Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang:
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. 2120-2125 - Jinxiong Xia, Cao Liu, Jiansong Chen, Yuchen Li, Fan Yang, Xunliang Cai, Guanglu Wan, Houfeng Wang:
Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing. 2126-2131 - Georgios Sidiropoulos, Evangelos Kanoulas:
Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings. 2132-2136 - Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland:
From Cluster Ranking to Document Ranking. 2137-2141 - Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl:
Unlearning Protected User Attributes in Recommendations with Adversarial Training. 2142-2147 - Suchana Datta, Sean MacAvaney, Debasis Ganguly, Derek Greene:
A 'Pointwise-Query, Listwise-Document' based Query Performance Prediction Approach. 2148-2153 - Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval. 2154-2158 - Wei Wang, Liangzhu Ge, Jingqiao Zhang, Cheng Yang:
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives. 2159-2165 - Jing Xiong, Chengming Li, Min Yang, Xiping Hu, Bin Hu:
Expression Syntax Information Bottleneck for Math Word Problems. 2166-2171 - Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu:
Masking and Generation: An Unsupervised Method for Sarcasm Detection. 2172-2177 - Tan Yu, Hongliang Fei, Ping Li:
Cross-Probe BERT for Fast Cross-Modal Search. 2178-2183 - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. 2184-2189 - Jiadi Han, Qian Tao, Yufei Tang, Yuhan Xia:
DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations. 2190-2194 - Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu:
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. 2195-2200 - Quan Tu, Shen Gao, Yanran Li, Jianwei Cui, Bin Wang, Rui Yan:
Conversational Recommendation via Hierarchical Information Modeling. 2201-2205 - Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang:
Relation-Guided Few-Shot Relational Triple Extraction. 2206-2213 - Prashansa Gupta, Sean MacAvaney:
On Survivorship Bias in MS MARCO. 2214-2219 - Carlos Lassance, Stéphane Clinchant:
An Efficiency Study for SPLADE Models. 2220-2226 - Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif:
Tensor-based Graph Modularity for Text Data Clustering. 2227-2231 - Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant:
Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). 2232-2236 - Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin:
AHP: Learning to Negative Sample for Hyperedge Prediction. 2237-2242 - Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park:
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. 2243-2248 - Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang:
Item Similarity Mining for Multi-Market Recommendation. 2249-2254 - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. 2255-2259 - Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann:
Modern Baselines for SPARQL Semantic Parsing. 2260-2265 - Harrie Oosterhuis:
Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation with Minimal Computational Complexity. 2266-2271 - Dandan Zhang, Haotian Wu, Guanqi Zeng, Yao Yang, Weijiang Qiu, Yujie Chen, Haoyuan Hu:
CTnoCVR: A Novelty Auxiliary Task Making the Lower-CTR-Higher-CVR Upper. 2272-2276 - Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang:
Deep Multi-Representational Item Network for CTR Prediction. 2277-2281 - Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang:
A New Sequential Prediction Framework with Spatial-temporal Embedding. 2282-2286 - Katsuhiko Hayashi:
Rethinking Correlation-based Item-Item Similarities for Recommender Systems. 2287-2291 - Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. 2292-2296 - Xu Chen, Qiu Qiu, Changshan Li, Kunqing Xie:
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection. 2297-2302 - Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork:
On Optimizing Top-K Metrics for Neural Ranking Models. 2303-2307 - Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu:
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. 2308-2313 - Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang:
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction. 2314-2318 - Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long:
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. 2319-2324 - Ronak Pradeep, Yilin Li, Yuetong Wang, Jimmy Lin:
Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. 2325-2330 - Rennan C. Lima, Rodrygo L. T. Santos:
On Extractive Summarization for Profile-centric Neural Expert Search in Academia. 2331-2335 - Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei:
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling. 2336-2340 - Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng:
Joint Optimization of Ad Ranking and Creative Selection. 2341-2346 - Minghan Li, Éric Gaussier:
BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval. 2347-2352 - Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant:
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. 2353-2359 - Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau:
Which Discriminator for Cooperative Text Generation? 2360-2365 - Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen:
When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. 2366-2370 - Luyu Gao, Jamie Callan:
Long Document Re-ranking with Modular Re-ranker. 2371-2376 - Beibei Li, Beihong Jin, Jiageng Song, Yisong Yu, Yiyuan Zheng, Wei Zhou:
Improving Micro-video Recommendation via Contrastive Multiple Interests. 2377-2381 - Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? 2382-2386 - Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira:
InPars: Unsupervised Dataset Generation for Information Retrieval. 2387-2392 - Yamen Ajjour, Pavel Braslavski, Alexander Bondarenko, Benno Stein:
Identifying Argumentative Questions in Web Search Logs. 2393-2399 - Shuang Tang, Fangyuan Luo, Jun Wu:
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. 2400-2404 - João Sá, Vanessa Queiroz Marinho, Ana Rita Magalhães, Tiago Lacerda, Diogo Gonçalves:
Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations. 2405-2409 - Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Revisiting Two-tower Models for Unbiased Learning to Rank. 2410-2414 - Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Answering Count Queries with Explanatory Evidence. 2415-2419 - Pierre Erbacher, Ludovic Denoyer, Laure Soulier:
Interactive Query Clarification and Refinement via User Simulation. 2420-2425 - Svea Klaus, Ria Van Hecke, Kaweh Djafari Naini, Ismail Sengor Altingovde, Juan Bernabé-Moreno, Enrique Herrera-Viedma:
Summarizing Legal Regulatory Documents using Transformers. 2426-2430 - Siwei Liu, Iadh Ounis, Craig Macdonald:
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. 2431-2436 - Prabhat Agarwal, Manisha Srivastava, Vishwakarma Singh, Charles Rosenberg:
Modeling User Behavior With Interaction Networks for Spam Detection. 2437-2442 - Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. 2443-2448 - Yue Zhang, Hongliang Fei, Ping Li:
End-to-end Distantly Supervised Information Extraction with Retrieval Augmentation. 2449-2455 - Sailaja Rajanala, Arghya Pal, Manish Singh, Raphael C.-W. Phan, KokSheik Wong:
DeSCoVeR: Debiased Semantic Context Prior for Venue Recommendation. 2456-2461 - Revanth Gangi Reddy, Md. Arafat Sultan, Martin Franz, Avirup Sil, Heng Ji:
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval. 2462-2466 - Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara:
Assessing Scientific Research Papers with Knowledge Graphs. 2467-2472 - Jiqun Liu, Fangyuan Han:
Matching Search Result Diversity with User Diversity Acceptance in Web Search Sessions. 2473-2477 - Xiangcheng Wu, Xi Niu, Ruhani Rahman:
Topological Analysis of Contradictions in Text. 2478-2483 - Shirin Seyedsalehi, Amin Bigdeli, Negar Arabzadeh, Morteza Zihayat, Ebrahim Bagheri:
Addressing Gender-related Performance Disparities in Neural Rankers. 2484-2488 - Youngwoo Kim, Razieh Rahimi, James Allan:
Alignment Rationale for Query-Document Relevance. 2489-2494 - Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. 2495-2500 - Konstantinos Theocharidis, Manolis Terrovitis, Spiros Skiadopoulos, Panagiotis Karras:
A Content Recommendation Policy for Gaining Subscribers. 2501-2506 - Eugene Yang, Suraj Nair, Ramraj Chandradevan, Rebecca Iglesias-Flores, Douglas W. Oard:
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval. 2507-2512 - Shujie Li, Min Yang, Chengming Li, Ruifeng Xu:
Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. 2513-2518 - Parastoo Jafarzadeh, Zahra Amirmahani, Faezeh Ensan:
Learning to Rank Knowledge Subgraph Nodes for Entity Retrieval. 2519-2523 - Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin, Scott Sanner:
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems. 2524-2531 - George Zerveas, Navid Rekabsaz, Daniel Cohen, Carsten Eickhoff:
Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. 2532-2538 - Yuan Wang, Zhiqiang Tao, Yi Fang:
A Meta-learning Approach to Fair Ranking. 2539-2544 - Oleg Zendel, Melika P. Ebrahim, J. Shane Culpepper, Alistair Moffat, Falk Scholer:
Can Users Predict Relative Query Effectiveness? 2545-2549 - Yongjun Chen, Jia Li, Caiming Xiong:
ELECRec: Training Sequential Recommenders as Discriminators. 2550-2554 - Jiayin Zheng, Juanyun Mai, Yanlong Wen:
Explainable Session-based Recommendation with Meta-path Guided Instances and Self-Attention Mechanism. 2555-2559 - Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu:
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. 2560-2564 - Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li:
Generative Adversarial Framework for Cold-Start Item Recommendation. 2565-2571 - Daniel Cohen, Kevin Du, Bhaskar Mitra, Laura Mercurio, Navid Rekabsaz, Carsten Eickhoff:
Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. 2572-2577 - Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao:
Modality-Balanced Embedding for Video Retrieval. 2578-2582 - Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya:
An Efficient Fusion Mechanism for Multimodal Low-resource Setting. 2583-2588 - Choongwon Park, Youngjoong Ko:
QSG Transformer: Transformer with Query-Attentive Semantic Graph for Query-Focused Summarization. 2589-2594 - Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang, Nian Wang:
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder. 2595-2600 - Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen:
PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. 2601-2606 - Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo:
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. 2607-2611 - Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang:
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. 2612-2616 - Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang:
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. 2617-2622 - Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, Yewang Chen:
Neutralizing Popularity Bias in Recommendation Models. 2623-2628 - Taehun Huh, Youngjoong Ko:
Lightweight Meta-Learning for Low-Resource Abstractive Summarization. 2629-2633 - Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. 2634-2638 - Jinseok Jamie Seol, Youngrok Ko, Sang-goo Lee:
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation. 2639-2644 - Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng:
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. 2645-2649 - Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty, Sriparna Saha:
Towards Motivational and Empathetic Response Generation in Online Mental Health Support. 2650-2656 - Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. 2657-2662 - Zhi Li, Xing Gao, Ji Zhang, Yin Zhang:
Multi-label Masked Language Modeling on Zero-shot Code-switched Sentiment Analysis. 2663-2668 - Esaú Villatoro-Tello, Srikanth R. Madikeri, Petr Motlícek, Aravind Ganapathiraju, Alexei V. Ivanov:
Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings. 2669-2674 - Ye Xiong, Teeradaj Racharak, Minh Le Nguyen:
Extractive Elementary Discourse Units for Improving Abstractive Summarization. 2675-2679 - Haoxin Liu:
LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design. 2680-2685 - Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li:
Dual Contrastive Network for Sequential Recommendation. 2686-2691 - Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. 2692-2697 - Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo:
Task-Oriented Dialogue System as Natural Language Generation. 2698-2703 - Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. 2704-2708 - Nuo Chen, Fan Zhang, Tetsuya Sakai:
Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model. 2709-2714
Reproducibility Track Papers
- Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. 2727-2737 - Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke:
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. 2738-2748 - Yuqi Liu, Chengcheng Hu, Jimmy Lin:
Another Look at Information Retrieval as Statistical Translation. 2749-2754 - Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi:
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. 2755-2764 - Nirmal Roy, David Maxwell, Claudia Hauff:
Users and Contemporary SERPs: A (Re-)Investigation. 2765-2775 - Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi:
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. 2776-2789 - Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
An Inspection of the Reproducibility and Replicability of TCT-ColBERT. 2790-2800
Perspective Papers
- Shuyi Wang, Guido Zuccon:
Is Non-IID Data a Threat in Federated Online Learning to Rank? 2801-2813 - Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi:
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers. 2814-2824 - Harrisen Scells, Shengyao Zhuang, Guido Zuccon:
Reduce, Reuse, Recycle: Green Information Retrieval Research. 2825-2837 - Oren Kurland, Moshe Tennenholtz:
Competitive Search. 2838-2849 - Marwah Alaofi, Luke Gallagher, Dana McKay, Lauren L. Saling, Mark Sanderson, Falk Scholer, Damiano Spina, Ryen W. White:
Where Do Queries Come From? 2850-2862 - Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. 2863-2874 - Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. 2875-2886
Resource Track Papers
- Bo Xu, Tingting Li, Junzhe Zheng, Mehdi Naseriparsa, Zhehuan Zhao, Hongfei Lin, Feng Xia:
MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. 2887-2899 - Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong:
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. 2900-2911 - Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. 2912-2923 - Yefan Huang, Xiaoli Wang, Feiyan Liu, Guofeng Huang:
OVQA: A Clinically Generated Visual Question Answering Dataset. 2924-2938 - Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. 2939-2948 - Ivan Srba, Branislav Pecher, Matús Tomlein, Róbert Móro, Elena Stefancova, Jakub Simko, Mária Bieliková:
Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims. 2949-2959 - Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
A Dataset for Sentence Retrieval for Open-Ended Dialogues. 2960-2969 - Ellen M. Voorhees, Nick Craswell, Jimmy Lin:
Too Many Relevants: Whither Cranfield Test Collections? 2970-2980 - Tengteng Lin, Qiaosheng Chen, Gong Cheng, Ahmet Soylu, Basil Ell, Ruoqi Zhao, Qing Shi, Xiaxia Wang, Yu Gu, Evgeny Kharlamov:
ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval. 2981-2991 - Javier Sanz-Cruzado, Pablo Castells:
RELISON: A Framework for Link Recommendation in Social Networks. 2992-3002 - Laura Dietz, Shubham Chatterjee, Connor Lennox, Sumanta Kashyapi, Pooja Oza, Ben Gamari:
Wikimarks: Harvesting Relevance Benchmarks from Wikipedia. 3003-3012 - Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. 3013-3024 - Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa:
ArchivalQA: A Large-scale Benchmark Dataset for Open-Domain Question Answering over Historical News Collections. 3025-3035 - Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan:
SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. 3036-3045 - Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang:
Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval. 3046-3056 - Daria Alexander, Wojciech Kusa, Arjen P. de Vries:
ORCAS-I: Queries Annotated with Intent using Weak Supervision. 3057-3066 - Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton:
CODEC: Complex Document and Entity Collection. 3067-3077 - Timo Breuer, Jüri Keller, Philipp Schaer:
ir_metadata: An Extensible Metadata Schema for IR Experiments. 3078-3089 - Trond Linjordet, Krisztian Balog:
Would You Ask it that Way?: Measuring and Improving Question Naturalness for Knowledge Graph Question Answering. 3090-3098 - Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. 3099-3107 - Paul Lerner, Olivier Ferret, Camille Guinaudeau, Hervé Le Borgne, Romaric Besançon, José G. Moreno, Jesús Lovón-Melgarejo:
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities. 3108-3120 - Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov:
Biographical Semi-Supervised Relation Extraction Dataset. 3121-3130 - Alexander Bondarenko, Maik Fröbe, Jan Heinrich Reimer, Benno Stein, Michael Völske, Matthias Hagen:
Axiomatic Retrieval Experimentation with ir_axioms. 3131-3140 - Dan Saattrup Nielsen, Ryan McConville:
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset. 3141-3153 - Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh:
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines. 3154-3164 - Thiago Silva, Nícollas Silva, Heitor Werneck, Carlos Mito, Adriano C. M. Pereira, Leonardo Rocha:
iRec: An Interactive Recommendation Framework. 3165-3175 - Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon:
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. 3176-3186 - Xueguang Ma, Ronak Pradeep, Rodrigo Frassetto Nogueira, Jimmy Lin:
Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. 3187-3197 - Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson:
MIMICS-Duo: Offline & Online Evaluation of Search Clarification. 3198-3208 - Longquan Jiang, Ricardo Usbeck:
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research? 3209-3218
Demo Papers
- Zijian Zhang, Vinay Setty, Avishek Anand:
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. 3219-3223 - Yi-Shyuan Chiang, Yu-Ze Liu, Chen-Feng Tsai, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang:
RecDelta: An Interactive Dashboard on Top-k Recommendation for Cross-model Evaluation. 3224-3228 - Andrew Trotman, Joel Mackenzie, Pradeesh Parameswaran, Jimmy Lin:
A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods. 3229-3234 - Shengyao Zhuang, Guido Zuccon:
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints During Training. 3235-3239 - Alessandro Speggiorin, Jeffrey Dalton, Anton Leuski:
TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation. 3240-3244 - Florian Schneider, Chris Biemann:
Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus. 3245-3250 - Viju Sudhi, Sabine Wehnert, Norbert Michael Homner, Sebastian Ernst, Mark Gonter, Andreas Krug, Ernesto William De Luca:
BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain. 3251-3255 - Eugene Yang, David D. Lewis:
TARexp: A Python Framework for Technology-Assisted Review Experiments. 3256-3261 - Congcong Ge, Xiaocan Zeng, Lu Chen, Yunjun Gao:
ZeroMatcher: A Cost-Off Entity Matching System. 3262-3266 - Yuyang Dong, Masafumi Oyamada:
Table Enrichment System for Machine Learning. 3267-3271 - Satya Almasian, Milena Bruseva, Michael Gertz:
QFinder: A Framework for Quantity-centric Ranking. 3272-3277 - Yang Liu, Alan Medlar, Dorota Glowacka:
ROGUE: A System for Exploratory Search of GANs. 3278-3282 - Raphaël Sourty, José G. Moreno, Lynda Tamine, François-Paul Servant:
CHERCHE: A New Tool to Rapidly Implement Pipelines in Information Retrieval. 3283-3288 - Dennis Aumiller, Satya Almasian, David Pohl, Michael Gertz:
Online DATEing: A Web Interface for Temporal Annotations. 3289-3294 - Leif Azzopardi, Jo Briggs, Melissa Duheric, Callum Nash, Emma Nicol, Wendy Moncur, Burkhard Schafer:
Are Taylor's Posts Risky? Evaluating Cumulative Revelations in Online Personal Data: A persona-based tool for evaluating awareness of online risks and harms. 3295-3299 - Lucio La Cava, Andrea Simeri, Andrea Tagarelli:
LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References. 3300-3305 - Andrés García-Silva, Cristian Berrio, José Manuél Gómez-Pérez, José Antonio Martínez Heras, Alessandro Donati, Ilaria Roma:
SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts. 3306-3311 - Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent:
DIANES: A DEI Audit Toolkit for News Sources. 3312-3317 - Maciej Rybinski, Liam Watts, Sarvnaz Karimi:
A2A-API: A Prototype for Biomedical Information Retrieval Research and Benchmarking. 3318-3322 - Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Yajing Xu, Ningyu Zhang, Zezhong Xu, Zonggang Yuan, Feiyu Xiong, Huajun Chen:
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. 3323-3328 - Paavo Arvola, Tuulikki Alamettälä:
IRVILAB: Gamified Searching on Multilingual Wikipedia. 3329-3333 - Yu Yang, Jiangxu Lin, Xiaolian Zhang, Meng Wang:
PKG: A Personal Knowledge Graph for Recommendation. 3334-3338 - Sean MacAvaney, Craig Macdonald:
A Python Interface to PISA! 3339-3344 - Linzhu Yu, Dawei Jiang, Ke Chen, Lidan Shou:
Arm: Efficient Learning of Neural Retrieval Models with Desired Accuracy by Automatic Knowledge Amalgamation. 3345-3349 - Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West:
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. 3350-3354
SIRIP Papers
- Wenchao Xiu, Yiran Wang, Taofeng Xue, Kai Zhang, Qin Zhang, Zhonghuo Wu, Yifan Yang, Gong Zhang:
DDEN: A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network. 3355-3359 - Arnold Overwijk, Chenyan Xiong, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. 3360-3362 - Md. Tahmid Rahman Laskar, Cheng Chen, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver:
An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations. 3363-3367 - Yanheng Wei, Lianghua Huang, Yanhao Zhang, Yun Zheng, Pan Pan:
An Intelligent Advertisement Short Video Production System via Multi-Modal Retrieval. 3368-3372 - Yubin Kim:
Applications and Future of Dense Retrieval in Industry. 3373-3374 - Ioannis Kangas, Maud Schwoerer, Lucas Bernardi:
Scalable User Interface Optimization Using Combinatorial Bandits. 3375-3379 - Josh Seltzer, Kathy Cheng, Shi Zong, Jimmy Lin:
Flipping the Script: Inverse Information Seeking Dialogues for Market Research. 3380-3383 - Shiri Dori-Hacohen, Scott A. Hale:
Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions. 3384-3385 - Daniel Clothiaux, Ravi Starzl:
Extractive Search for Analysis of Biomedical Texts. 3386-3387 - Daniela Vianna, Edleno Silva de Moura:
Organizing Portuguese Legal Documents through Topic Discovery. 3388-3392 - Sudeep Das, Ivan Provalov, Vickie Zhang, Weidong Zhang:
Query Facet Mapping and its Applications in Streaming Services: The Netflix Case Study. 3393-3397 - Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan:
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example. 3398-3402 - Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo:
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. 3403-3407 - Henry S. Vieira:
Unsupervised Product Offering Title Quality Scores. 3408-3411 - Scott Rome, Sardar Hamidian, Richard Walsh, Kevin Foley, Ferhan Ture:
Learning to Rank Instant Search Results with Multiple Indices: A Case Study in Search Aggregation for Entertainment. 3412-3416
Tutorials
- Deng Cai, Yan Wang, Lemao Liu, Shuming Shi:
Recent Advances in Retrieval-Augmented Text Generation. 3417-3419 - Markus Schedl, Emilia Gómez, Elisabeth Lex:
Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. 3420-3424 - Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. 3425-3428 - Sahisnu Mazumder, Bing Liu:
Continual Learning Dialogue Systems - Learning during Conversation. 3429-3432 - Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub:
Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. 3433-3435 - Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri:
Gender Fairness in Information Retrieval Systems. 3436-3439 - Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin:
Self-Supervised Learning for Recommender System. 3440-3443 - George Buchanan, Dana McKay:
What the Actual...Examining User Behaviour in Information Retrieval. 3444-3446 - Reinald Kim Amplayo, Arthur Brazinskas, Yoshi Suhara, Xiaolan Wang, Bing Liu:
Beyond Opinion Mining: Summarizing Opinions of Customer Reviews. 3447-3450 - Soumen Chakrabarti:
Deep Knowledge Graph Representation Learning for Completion, Alignment, and Question Answering. 3451-3454 - Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani:
Conversational Information Seeking: Theory and Application. 3455-3458 - Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic:
Towards Reproducible Machine Learning Research in Information Retrieval. 3459-3461
Workshops
- Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
ReNeuIR: Reaching Efficiency in Neural Information Retrieval. 3462-3465 - Gustavo Penha, Svitlana Vakulenko, Ondrej Dusek, Leigh Clark, Vaishali Pal, Vaibhav Adlakha:
The Seventh Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI'22). 3466-3469 - Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse:
The 10th International Workshop on News Recommendation and Analytics (INRA 2022). 3470-3473 - Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). 3474-3477 - Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog:
QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems. 3478-3481 - Anett Hoppe, Ran Yu, Jiqun Liu:
IWILDS'22 - Third International Workshop on Investigating Learning During Web Search. 3482-3484 - Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
eCom'22: The SIGIR 2022 Workshop on eCommerce. 3485-3487 - Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang:
DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. 3488-3491
Doctoral Consortium
- Sachin Pathiyan Cherumanal:
Fairness-Aware Question Answering for Intelligent Assistants. 3492 - Gabriela González Sáez:
Continuous Result Delta Evaluation of IR Systems. 3493 - Zuoxi Yang:
Generating Knowledge-based Explanation for Recommendation from Review. 3494 - Harshita Sahijwani:
Adaptive Dialogue Management for Conversational Information Elicitation. 3495 - Anja Reusch:
Pre-Training for Mathematics-Aware Retrieval. 3496 - Xiao Wang:
Neural Pseudo-Relevance Feedback Models for Sparse and Dense Retrieval. 3497 - Karlijn Dinnissen:
Improving Fairness and Transparency for Artists in Music Recommender Systems. 3498 - Philipp Christmann:
Explainable Conversational Question Answering over Heterogeneous Sources. 3499 - Khushboo Thaker:
KA-Recsys: Patient Focused Knowledge Appropriate Health Recommender System. 3500 - Marwah Alaofi:
User-centered Non-factoid Answer Retrieval. 3501
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