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42nd SIGIR 2019: Paris, France
- Benjamin Piwowarski, Max Chevalier, Éric Gaussier, Yoelle Maarek, Jian-Yun Nie, Falk Scholer:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019. ACM 2019, ISBN 978-1-4503-6172-9
Keynote & Invited Talks
- W. Bruce Croft:
The Importance of Interaction for Information Retrieval. 1-2 - Cordelia Schmid:
Automatic Understanding of the Visual World. 3-4
Session 1A: Learning to Rank 1
- Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims:
A General Framework for Counterfactual Learning-to-Rank. 5-14 - Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke:
To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. 15-24 - Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler:
Domain Adaptation for Enterprise Email Search. 25-34
Session 1B: Health and Social Media
- Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini:
Health Cards for Consumer Health Search. 35-44 - Aymé Arango, Jorge Pérez, Barbara Poblete:
Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation. 45-54 - Zi Chai, Xiaojun Wan, Zhao Zhang, Minjie Li:
Harvesting Drug Effectiveness from Social Media. 55-64
Session 1C: Search Intents
- Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. 65-74
Session 2A: Question Answering
- Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli:
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. 75-84 - Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu, Jun Zhao:
Document Gated Reader for Open-Domain Question Answering. 85-94 - Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui, Xuanjing Huang:
Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. 95-104 - Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang, Gerhard Weikum:
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs. 105-114 - Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. 115-124
Session 2B: Collaborative Filtering
- Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose:
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. 125-134 - Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai:
Noise Contrastive Estimation for One-Class Collaborative Filtering. 135-144 - Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi:
Compositional Coding for Collaborative Filtering. 145-154 - Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang:
Unified Collaborative Filtering over Graph Embeddings. 155-164 - Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. 165-174
Session 2C: Knowledge and Entities
- Ghodai Abdelrahman, Qing Wang:
Knowledge Tracing with Sequential Key-Value Memory Networks. 175-184 - An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Personal Knowledge Base Construction from Text-based Lifelogs. 185-194 - Wiradee Imrattanatrai, Makoto P. Kato, Masatoshi Yoshikawa:
Identifying Entity Properties from Text with Zero-shot Learning. 195-204 - Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo:
One-Class Order Embedding for Dependency Relation Prediction. 205-214 - Laura Dietz:
ENT Rank: Retrieving Entities for Topical Information Needs through Entity-Neighbor-Text Relations. 215-224
Session 3A: Recommendations 1
- Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, Shaoping Ma:
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation. 225-234 - Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. 235-244 - Thanh Tran, Renee Sweeney, Kyumin Lee:
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation. 245-254 - Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li:
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. 255-264
Session 3B: Interpretatibility and Explainability
- Krisztian Balog, Filip Radlinski, Shushan Arakelyan:
Transparent, Scrutable and Explainable User Models for Personalized Recommendation. 265-274 - Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu:
A Capsule Network for Recommendation and Explaining What You Like and Dislike. 275-284 - Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, Yongfeng Zhang:
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. 285-294 - Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang:
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees. 295-304
Session 3C: Fact-checking, Privacy and Legal
- Jinjin Shao, Shiyu Ji, Tao Yang:
Privacy-aware Document Ranking with Neural Signals. 305-314 - Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Luo Si:
Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. 315-324 - Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo:
Hierarchical Matching Network for Crime Classification. 325-334 - Nguyen Vo, Kyumin Lee:
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language. 335-344
Session 4A: Recommendations and Classificatiion
- Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, Maarten de Rijke:
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. 345-354 - Sérgio D. Canuto, Thiago Salles, Thierson Couto Rosa, Marcos André Gonçalves:
Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification. 355-364 - Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang, Luo Si:
Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model. 365-374
Session 4B: Queries
- Lauri Kangassalo, Michiel M. A. Spapé, Giulio Jacucci, Tuukka Ruotsalo:
Why do Users Issue Good Queries?: Neural Correlates of Term Specificity. 375-384 - Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. 385-394 - Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland, J. Shane Culpepper:
Information Needs, Queries, and Query Performance Prediction. 395-404
Session 4C: Users and Tasks
- Ryen W. White, Ahmed Hassan Awadallah, Robert Sim:
Task Completion Detection: A Study in the Context of Intelligent Systems. 405-414 - Matthew Mitsui, Chirag Shah:
Bridging Gaps: Predicting User and Task Characteristics from Partial User Information. 415-424 - Yukun Zheng, Jiaxin Mao, Yiqun Liu, Zixin Ye, Min Zhang, Shaoping Ma:
Human Behavior Inspired Machine Reading Comprehension. 425-434
Session 5A: Conversation and Dialog
- Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen, Rui Yan:
EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation. 435-444 - Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie:
User Attention-guided Multimodal Dialog Systems. 445-454 - Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. 455-464 - Weike Jin, Zhou Zhao, Mao Gu, Jun Yu, Jun Xiao, Yueting Zhuang:
Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks. 465-474 - Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. 475-484
Session 5B: Efficiency, Effectiveness and Performance
- Matthias Petri, Alistair Moffat, Joel M. Mackenzie, J. Shane Culpepper, Daniel Beck:
Accelerated Query Processing Via Similarity Score Prediction. 485-494 - Andrey Kolobov, Yuval Peres, Eyal Lubetzky, Eric Horvitz:
Optimal Freshness Crawl Under Politeness Constraints. 495-504 - Julián Urbano, Harlley Lima, Alan Hanjalic:
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors. 505-514
Session 6A: Social Media
- Tzu-Heng Lin, Chen Gao, Yong Li:
CROSS: Cross-platform Recommendation for Social E-Commerce. 515-524 - Renfeng Ma, Xiangkun Hu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang:
Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model. 525-534 - Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou, Xuanjing Huang:
Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. 535-544 - Weiqing Wang, Hongzhi Yin, Xingzhong Du, Wen Hua, Yongjun Li, Quoc Viet Hung Nguyen:
Online User Representation Learning Across Heterogeneous Social Networks. 545-554
Session 6B: Personalization and Personal Data Search
- Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen:
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. 555-564 - Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. 565-574 - Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork:
Multi-view Embedding-based Synonyms for Email Search. 575-584 - Wei Wang, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, Chris Quirk:
Context-Aware Intent Identification in Email Conversations. 585-594
Session 7A: Relevance and Evaluation 1
- Tetsuya Sakai, Zhaohao Zeng:
Which Diversity Evaluation Measures Are "Good"? 595-604 - Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. 605-614 - Mahmoud F. Sayed, Douglas W. Oard:
Jointly Modeling Relevance and Sensitivity for Search Among Sensitive Content. 615-624 - Azin Ashkan, Donald Metzler:
Revisiting Online Personal Search Metrics with the User in Mind. 625-634
Session 7B: Multilingual and Cross-modal Retrieval
- Peng Hu, Liangli Zhen, Dezhong Peng, Pei Liu:
Scalable Deep Multimodal Learning for Cross-Modal Retrieval. 635-644 - Rabih Zbib, Lingjun Zhao, Damianos G. Karakos, William Hartmann, Jay DeYoung, Zhongqiang Huang, Zhuolin Jiang, Noah Rivkin, Le Zhang, Richard M. Schwartz, John Makhoul:
Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech. 645-654 - Zhu Zhang, Zhijie Lin, Zhou Zhao, Zhenxin Xiao:
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos. 655-664
Session 7C: Recommendations 2
- Yifan Chen, Pengjie Ren, Yang Wang, Maarten de Rijke:
Bayesian Personalized Feature Interaction Selection for Factorization Machines. 665-674 - Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen:
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. 675-684 - Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, Maarten de Rijke:
π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. 685-694 - Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He:
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. 695-704
Session 8A: User Behavior and Experience
- Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma:
Effects of User Negative Experience in Mobile News Streaming. 705-714
Session 8B: Hashing
- Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang:
Online Multi-modal Hashing with Dynamic Query-adaption. 715-724 - Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. 725-734 - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Neural Generative Semantic Hashing. 735-744
Session 8C: Summarization and Information Extraction
- Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. 745-754 - Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie:
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. 755-764
Session 9A: Fashion Match
- Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. 765-774 - Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua:
Interpretable Fashion Matching with Rich Attributes. 775-784 - Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie:
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. 785-794
Session 9B: Relevance and Evaluation 2
- Xiangsheng Li, Jiaxin Mao, Chao Wang, Yiqun Liu, Min Zhang, Shaoping Ma:
Teach Machine How to Read: Reading Behavior Inspired Relevance Estimation. 795-804 - Nicola Ferro, Mark Sanderson:
Improving the Accuracy of System Performance Estimation by Using Shards. 805-814 - Franco Maria Nardini, Roberto Trani, Rossano Venturini:
Fast Approximate Filtering of Search Results Sorted by Attribute. 815-824
Session 9C: Learning to Rank 2
- Zhichong Fang, Aman Agarwal, Thorsten Joachims:
Intervention Harvesting for Context-Dependent Examination-Bias Estimation. 825-834 - Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang:
Variance Reduction in Gradient Exploration for Online Learning to Rank. 835-844
Short Research Papers 1A: AI, Mining, and Others
- Raphael Tang, Ferhan Türe, Jimmy Lin:
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems. 853-856 - Dany Haddad, Joydeep Ghosh:
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. 857-860 - Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli:
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. 861-864 - Songwei Ge, Curtis Xuan, Ruihua Song, Chao Zou, Wei Liu, Jin Zhou:
From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories. 865-868 - Taihua Shao, Fei Cai, Honghui Chen, Maarten de Rijke:
Length-adaptive Neural Network for Answer Selection. 869-872 - Muhao Chen, Chris Quirk:
Embedding Edge-attributed Relational Hierarchies. 873-876 - Anastasia Giachanou, Paolo Rosso, Fabio Crestani:
Leveraging Emotional Signals for Credibility Detection. 877-880 - Chang Wang, Bang Wang, Wei Xiang, Minghua Xu:
Encoding Syntactic Dependency and Topical Information for Social Emotion Classification. 881-884 - Xueqin Chen, Kunpeng Zhang, Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang:
Information Cascades Modeling via Deep Multi-Task Learning. 885-888 - Andrew Burnie, Emine Yilmaz:
An Analysis of the Change in Discussions on Social Media with Bitcoin Price. 889-892 - Ting Su, Craig Macdonald, Iadh Ounis:
Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. 893-896 - Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Contextually Propagated Term Weights for Document Representation. 897-900
Short Research Papers 1B: Recommendation and Evaluation
- Shahin Rahbariasl, Mark D. Smucker:
Time-Limits and Summaries for Faster Relevance Assessing. 901-904 - Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang:
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure. 905-908 - Fabio Zampieri, Kevin Roitero, J. Shane Culpepper, Oren Kurland, Stefano Mizzaro:
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. 909-912 - Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke:
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. 913-916 - Emmanuel Vallée, Delphine Charlet, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer:
How to Deal with Scarce Annotations in Answer Selection. 917-920 - Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner:
One-Class Collaborative Filtering with the Queryable Variational Autoencoder. 921-924 - Praveen Chandar, Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Jennifer Thom:
Developing Evaluation Metrics for Instant Search Using Mixed Methods Methods. 925-928 - Sparsh Gupta, Vitor R. Carvalho:
FAQ Retrieval Using Attentive Matching. 929-932 - Saikishore Kalloori, Tianyu Li, Francesco Ricci:
Item Recommendation by Combining Relative and Absolute Feedback Data. 933-936 - Matteo Catena, Nicola Tonellotto:
Multiple Query Processing via Logic Function Factoring. 937-940 - Cédric Lespagnol, Josiane Mothe, Md. Zia Ullah:
Information Nutritional Label and Word Embedding to Estimate Information Check-Worthiness. 941-944 - Gordon V. Cormack, Maura R. Grossman:
Unbiased Low-Variance Estimators for Precision and Related Information Retrieval Effectiveness Measures. 945-948
Short Research Papers 1C: Search
- Chunlin Xu, Zhiwei Lin, Shengli Wu, Hui Wang:
Multi-Level Matching Networks for Text Matching. 949-952 - Steven Zimmerman, Alistair Thorpe, Chris Fox, Udo Kruschwitz:
Investigating the Interplay Between Searchers' Privacy Concerns and Their Search Behavior. 953-956 - Lorik Dumani, Ralf Schenkel:
A Systematic Comparison of Methods for Finding Good Premises for Claims. 957-960 - Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu:
Graph Intention Network for Click-through Rate Prediction in Sponsored Search. 961-964 - Dennis Dosso, Gianmaria Silvello:
A Scalable Virtual Document-Based Keyword Search System for RDF Datasets. 965-968 - Michael Völske, Ehsan Fatehifar, Benno Stein, Matthias Hagen:
Query-Task Mapping. 969-972 - Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin:
An Analysis of Query Reformulation Techniques for Precision Medicine. 973-976 - Robert Capra, Jaime Arguello:
Using Trails to Support Users with Tasks of Varying Scope. 977-980 - Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. 981-984 - Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. 985-988