default search action
44th 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