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ORCID42nd 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 - Siyu Mi, Jiepu Jiang:
Understanding the Interpretability of Search Result Summaries. 989-992 - Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder:
Content-Based Weak Supervision for Ad-Hoc Re-Ranking. 993-996
Short Research Papers 2A: AI, Mining, and Others
- Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani:
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. 997-1000 - Adam Roegiest, Edward Lee:
On Tradeoffs Between Document Signature Methods for a Legal Due Diligence Corpus. 1001-1004 - Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand:
A study on the Interpretability of Neural Retrieval Models using DeepSHAP. 1005-1008 - Kyle Williams, Seyyed Hadi Hashemi, Imed Zitouni:
Automatic Task Completion Flows from Web APIs. 1009-1012 - Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish A. Talati, Ross W. Filice:
Ontology-Aware Clinical Abstractive Summarization. 1013-1016 - Geon Lee, Seonggoo Kang, Joyce Jiyoung Whang:
Hyperlink Classification via Structured Graph Embedding. 1017-1020 - Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen:
Answer-enhanced Path-aware Relation Detection over Knowledge Base. 1021-1024 - Theodore Vasiloudis, Hyunsu Cho, Henrik Boström:
Block-distributed Gradient Boosted Trees. 1025-1028 - Li Zhang, Shuo Zhang, Krisztian Balog:
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval. 1029-1032 - Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen:
Coarse-to-Fine Grained Classification. 1033-1036 - Xuejiao Yang, Bang Wang:
Local Matrix Approximation based on Graph Random Walk. 1037-1040 - He Zhao, Zhunchen Luo, Chong Feng, Yuming Ye:
A Context-based Framework for Resource Citation Classification in Scientific Literatures. 1041-1044
Short Research Papers 2B: Recommendation and Evaluation
- Eugene Yang, David D. Lewis, Ophir Frieder:
Text Retrieval Priors for Bayesian Logistic Regression. 1045-1048 - Mauricio Quezada, Barbara Poblete:
A Lightweight Representation of News Events on Social Media. 1049-1052 - Mohammad Naseri, Hamed Zamani:
Analyzing and Predicting News Popularity in an Instant Messaging Service. 1053-1056 - Dimitrios Rafailidis, Fabio Crestani:
Adversarial Training for Review-Based Recommendations. 1057-1060 - Julián Urbano, Harlley Lima, Alan Hanjalic:
A New Perspective on Score Standardization. 1061-1064 - Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Neural Network for Robust Recommendation. 1065-1068 - Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. 1069-1072 - Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Mohit Kumar, Pawan Goyal:
Addressing Vocabulary Gap in E-commerce Search. 1073-1076 - Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. 1077-1080 - Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. 1081-1084 - Haggai Roitman:
Normalized Query Commitment Revisited. 1085-1088 - Gordon V. Cormack, Maura R. Grossman:
Quantifying Bias and Variance of System Rankings. 1089-1092
Short Research Papers 2C: Search
- Anita Crescenzi, Yuan Li, Yinglong Zhang, Robert Capra:
Towards Better Support for Exploratory Search through an Investigation of Notes-to-self and Notes-to-share. 1093-1096 - Gabriella Kazai, Paul Thomas, Nick Craswell:
The Emotion Profile of Web Search. 1097-1100 - Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian:
CEDR: Contextualized Embeddings for Document Ranking. 1101-1104 - Hao-Ming Fu, Pu-Jen Cheng:
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis. 1105-1108 - Robert Litschko, Goran Glavas, Ivan Vulic, Laura Dietz:
Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval. 1109-1112 - Wataru Sakata, Tomohide Shibata, Ribeka Tanaka, Sadao Kurohashi:
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance. 1113-1116 - Martin Potthast, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein, Matthias Hagen:
Argument Search: Assessing Argument Relevance. 1117-1120 - Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang:
Order-aware Embedding Neural Network for CTR Prediction. 1121-1124 - Jimmy Lin, Peilin Yang:
The Impact of Score Ties on Repeatability in Document Ranking. 1125-1128 - Wei Yang, Kuang Lu, Peilin Yang, Jimmy Lin:
Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models. 1129-1132 - Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer:
BERT with History Answer Embedding for Conversational Question Answering. 1133-1136 - Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury:
On the Effect of Low-Frequency Terms on Neural-IR Models. 1137-1140
Short Research Papers 3A: AI, Mining, and Others
- Xiaoli Wang, Rongzhen Wang, Zhifeng Bao, Jiayin Liang, Wei Lu:
Effective Medical Archives Processing Using Knowledge Graphs. 1141-1144 - Chen Zhang, Qiuchi Li, Dawei Song:
Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network. 1145-1148 - Grace E. Lee, Aixin Sun:
A Study on Agreement in PICO Span Annotations. 1149-1152 - Puxuan Yu, Zhiqi Huang, Razieh Rahimi, James Allan:
Corpus-based Set Expansion with Lexical Features and Distributed Representations. 1153-1156 - Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
Sparse Tensor Co-clustering as a Tool for Document Categorization. 1157-1160 - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Numeral Attachment with Auxiliary Tasks. 1161-1164 - Manash Pratim Barman, Amit Awekar, Sambhav Kothari:
Decoding The Style And Bias of Song Lyrics. 1165-1168 - Gloria Feher, Andreas Spitz, Michael Gertz:
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings. 1169-1172 - Penghui Wei, Wenji Mao:
Modeling Transferable Topics for Cross-Target Stance Detection. 1173-1176 - Zhenlong Zhu, Ruixuan Li, Minghui Shan, Yuhua Li, Lu Gao, Fei Wang, Jixing Xu, Xiwu Gu:
TDP: Personalized Taxi Demand Prediction Based on Heterogeneous Graph Embedding. 1177-1180 - Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi:
Uncovering Insurance Fraud Conspiracy with Network Learning. 1181-1184 - Xueyu Mao, Saayan Mitra, Sheng Li:
Training Streaming Factorization Machines with Alternating Least Squares. 1185-1188
Short Research Papers 3B: Recommendation and Evaluation
- Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei:
Social Attentive Deep Q-network for Recommendation. 1189-1192 - Farhan Khawar, Nevin L. Zhang:
Cleaned Similarity for Better Memory-Based Recommenders. 1193-1196 - Kosetsu Tsukuda, Satoru Fukayama, Masataka Goto:
ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation. 1197-1200 - Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Improving Collaborative Metric Learning with Efficient Negative Sampling. 1201-1204 - Seongjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang:
SAIN: Self-Attentive Integration Network for Recommendation. 1205-1208 - Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Towards Context-Aware Evaluation for Image Search. 1209-1212 - Mihai Lupu, Alexandros Bampoulidis, Luca Papariello:
A Horizontal Patent Test Collection. 1213-1216 - Gordon V. Cormack, Haotian Zhang, Nimesh Ghelani, Mustafa Abualsaud, Mark D. Smucker, Maura R. Grossman, Shahin Rahbariasl, Amira Ghenai:
Dynamic Sampling Meets Pooling. 1217-1220 - Saar Kuzi, Abhishek Narwekar, Anusri Pampari, ChengXiang Zhai:
Help Me Search: Leveraging User-System Collaboration for Query Construction to Improve Accuracy for Difficult Queries. 1221-1224 - Arian Askari, Asal Jalilvand, Mahmood Neshati:
On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users. 1225-1228 - Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani:
Neural Compatibility Ranking for Text-based Fashion Matching. 1229-1232 - Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. 1233-1236
Short Research Papers 3C: Search
- Pavel Procházka, Matej Kocián, Jakub Drdák, Jan Vrsovský, Vladimír Kadlec, Jaroslav Kuchar:
Vertical Search Blending: A Real-world Counterfactual Dataset. 1237-1240 - Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork:
Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. 1241-1244 - Yadi Lao, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen:
Name Entity Recognition with Policy-Value Networks. 1245-1248 - Luyan Xu, Xuan Zhou, Ujwal Gadiraju:
Revealing the Role of User Moods in Struggling Search Tasks. 1249-1252 - Dwaipayan Roy, Sumit Bhatia, Mandar Mitra:
Selecting Discriminative Terms for Relevance Model. 1253-1256 - Amal Alharbi, Mark Stevenson:
A Dataset of Systematic Review Updates. 1257-1260 - Haggai Roitman, Oren Kurland:
Query Performance Prediction for Pseudo-Feedback-Based Retrieval. 1261-1264 - Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Reinforcement Learning for User Intent Prediction in Customer Service Bots. 1265-1268 - Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Enhanced News Retrieval: Passages Lead the Way! 1269-1272 - Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein:
Contextual Dialogue Act Classification for Open-Domain Conversational Agents. 1273-1276 - Long Xiang, Bo Tang, Chuan Yang:
Accelerating Exact Inner Product Retrieval by CPU-GPU Systems. 1277-1280 - Manisha Verma, Debasis Ganguly:
LIRME: Locally Interpretable Ranking Model Explanation. 1281-1284
Demonstration Papers 1: Interactive IR Systems
- Ryan Clancy, Toke Eskildsen, Nick Ruest, Jimmy Lin:
Solr Integration in the Anserini Information Retrieval Toolkit. 1285-1288 - Xinhui Tu, Jimmy X. Huang, Jing Luo, Runjie Zhu, Tingting He:
Parrot: A Python-based Interactive Platform for Information Retrieval Research. 1289-1292 - Tony Russell-Rose, Jon Chamberlain:
An Open-Access Platform for Transparent and Reproducible Structured Searching. 1293-1296 - Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. 1297-1300 - Hrishikesh Ganu, Mithun Ghosh, Freddy Jose, Shashi Roshan:
AgentBuddy: an IR System based on Bandit Algorithms to Reduce Cognitive Load for Customer Care Agents. 1301-1304 - Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong:
AliISA: Creating an Interactive Search Experience in E-commerce Platforms. 1305-1308 - Junyan Wang, Peng Zhang, Cheng Zhang, Dawei Song:
SCSS-LIE: A Novel Synchronous Collaborative Search System with a Live Interactive Engine. 1309-1312
Demonstration Papers 2: Evaluation & Entities
- Ryan Clancy, Jaejun Lee, Zeynep Akkalyoncu Yilmaz, Jimmy Lin:
Information Retrieval Meets Scalable Text Analytics: Solr Integration with Spark. 1313-1316 - Omar Alonso, Vasileios Kandylas, Serge-Eric Tremblay:
Social Knowledge Graph Explorer. 1317-1320 - Leif Azzopardi, Paul Thomas, Alistair Moffat:
cwl_eval: An Evaluation Tool for Information Retrieval. 1321-1324 - João R. M. Palotti, Harrisen Scells, Guido Zuccon:
TrecTools: an Open-source Python Library for Information Retrieval Practitioners Involved in TREC-like Campaigns. 1325-1328 - Arpan Mukherjee, Shubhi Tiwari, Tanya Chowdhury, Tanmoy Chakraborty:
Automatic Curation of Content Tables for Educational Videos. 1329-1332 - Minseok Cho, Gyeongbok Lee, Seung-won Hwang:
Explanatory and Actionable Debugging for Machine Learning: A TableQA Demonstration. 1333-1336 - Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy:
A Pipeline for Disaster Response and Relief Coordination. 1337-1340
Demonstration Papers 3: Applications
- Charles Thomas, Richard McCreadie, Iadh Ounis:
Event Tracker: A Text Analytics Platform for Use During Disasters. 1341-1344 - Christina Lui, Sourav S. Bhowmick, Adam Jatowt:
KANDINSKY: Abstract Art-Inspired Visualization of Social Discussions. 1345-1348 - Ke Chen, Lei Feng, Qingkuang Chen, Gang Chen, Lidan Shou:
EXACT: Attributed Entity Extraction By Annotating Texts. 1349-1352 - Mayank Kejriwal, Runqi Shao, Pedro A. Szekely:
Expert-Guided Entity Extraction using Expressive Rules. 1353-1356 - Vincent Nguyen, Sarvnaz Karimi, Brian Jin:
An Experimentation Platform for Precision Medicine. 1357-1360 - Gayle McElvain, George Sanchez, Seán Matthews, Don Teo, Filippo Pompili, Tonya Custis:
WestSearch Plus: A Non-factoid Question-Answering System for the Legal Domain. 1361-1364 - Nicholas Mendez, Kyle De Freitas, Inzamam Rahaman:
Demonstrating Requirement Search on a University Degree Search Application. 1365-1368
SIRIP 1: Voice, Entertainment, and Suggestions
- Yoelle Maarek:
Alexa, Can You Help Me Shop? 1369-1370 - Sudarshan Lamkhede, Sudeep Das:
Challenges in Search on Streaming Services: Netflix Case Study. 1371-1374 - Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms. 1375-1376 - Lakshmi Ramachandran, Uma Murthy:
Ghosting: Contextualized Query Auto-Completion on Amazon Search. 1377-1378
SIRIP 2: Recommendation, Search, and Advertising
- Kevin Zielnicki:
Simulacra and Selection: Clothing Set Recommendation at Stitch Fix. 1379-1380 - Viet Ha-Thuc, Srinath Aaleti, Rongda Zhu, Nade Sritanyaratana, Corey Chen:
Searching for Communities: a Facebook Way. 1381-1382 - Rui Li, Yunjiang Jiang, Wenyun Yang, Guoyu Tang, Songlin Wang, Chaoyi Ma, Wei He, Xi Xiong, Yun Xiao, Yihong Eric Zhao:
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search. 1383-1384 - Xiao Yang, Zhi Guo, Zongyao Ding:
Beyond Keyword Targeting: An End-to-End Ad Retrieval Framework for Sponsored Search. 1385-1386
SIRIP 3: Various Applications
- Jochen L. Leidner:
Nobody Said it Would be Easy: A Decade of R&D Projects in Information Access from Thomson over Reuters to Refinitiv. 1387-1388 - Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi:
Family History Discovery through Search at Ancestry. 1389-1390 - Anton Firsov, Vladimir Bugay, Anton Karpenko:
USEing Transfer Learning in Retrieval of Statistical Data. 1391-1392
SIRIP 4: Legal IR
- Nicolas Fiorini:
Find Relevant Cases in All Cases: Your Journey at Doctrine. 1393-1394 - Gayle McElvain, George Sanchez, Don Teo, Tonya Custis:
Non-factoid Question Answering in the Legal Domain. 1395-1396 - Stuart Mackie, David Macdonald, Leif Azzopardi, Yashar Moshfeghi:
Looking for Opportunities: Challenges in Procurement Search. 1397-1398
Tutorials
- Alexey Drutsa, Gleb Gusev, Eugene Kharitonov, Denis Kulemyakin, Pavel Serdyukov, Igor Yashkov:
Effective Online Evaluation for Web Search. 1399-1400 - Leif Azzopardi, Alistair Moffat, Paul Thomas, Guido Zuccon:
Building Economic Models and Measures of Search. 1401-1402 - Michael D. Ekstrand, Robin Burke, Fernando Diaz:
Fairness and Discrimination in Retrieval and Recommendation. 1403-1404 - Weiwei Guo, Huiji Gao, Jun Shi, Bo Long:
Deep Natural Language Processing for Search Systems. 1405-1406 - Fattane Zarrinkalam, Hossein Fani, Ebrahim Bagheri:
Extracting, Mining and Predicting Users' Interests from Social Networks. 1407-1408 - Shuo Zhang, Krisztian Balog:
Web Table Extraction, Retrieval and Augmentation. 1409-1410 - Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Example-based Search: a New Frontier for Exploratory Search. 1411-1412 - Wei Wu, Rui Yan:
Deep Chit-Chat: Deep Learning for Chatbots. 1413-1414 - Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Estimating Class Prevalence via Supervised Learning. 1415-1416 - Yongfeng Zhang, Jiaxin Mao, Qingyao Ai:
SIGIR 2019 Tutorial on Explainable Recommendation and Search. 1417-1418 - Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. 1419-1420
Workshops
- Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal, Andrew Trotman:
ECOM'19: The SIGIR 2019 Workshop on eCommerce. 1421-1422 - Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand:
Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR). 1423-1425 - Guillaume Bouchard, Guido Caldarelli, Vassilis Plachouras:
ROME 2019: Workshop on Reducing Online Misinformation Exposure. 1426-1428 - Dyaa Albakour, Miguel Martinez, Sylvia Tippmann, Ahmet Aker, Jonathan Stray, Shiri Dori-Hacohen, Alberto Barrón-Cedeño:
Third International Workshop on Recent Trends in News Information Retrieval (NewsIR'19). 1429-1431 - Ryan Clancy, Nicola Ferro, Claudia Hauff, Jimmy Lin, Tetsuya Sakai, Ze Zhong Wu:
The SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019). 1432-1434 - Abhinav Rastogi, Alexandros Papangelis, Rahul Goel, Chandra Khatri:
WCIS 2019: 1st Workshop on Conversational Interaction Systems. 1435-1437 - Yongfeng Zhang, Yi Zhang, Min Zhang, Chirag Shah:
EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search. 1438-1440 - Muthu Kumar Chandrasekaran, Philipp Mayr, Michihiro Yasunaga, Dayne Freitag, Dragomir R. Radev, Min-Yen Kan:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). 1441-1443
Doctoral Consortium
- Benyou Wang:
Dynamic Content Monitoring and Exploration using Vector Spaces. 1444 - Jiqun Liu:
Characterizing the Stages of Complex Tasks. 1445 - Gregory Goren:
Ranking Robustness In Adversarial Retrieval Settings. 1446 - Rashmi Sankepally:
Event Information Retrieval from Text. 1447 - Hawre Hosseini:
Implicit Entity Recognition, Classification and Linking in Tweets. 1448 - Priya Deshpande:
Biomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges. 1449 - Binsheng Liu:
From Query Variations To Learned Relevance Modeling. 1450 - Qiuchi Li:
Multimodal Data Fusion with Quantum Inspiration. 1451 - Marco Wrzalik:
Document Distance Metric Learning in an Interactive Exploration Process. 1452 - Alfan Farizki Wicaksono:
Measuring Job Search Effectiveness. 1453 - Souvick Ghosh:
Informing the Design of Conversational IR Systems: Framework and Result Presentation. 1454 - Rodger Benham:
Evaluating Risk-Sensitive Text Retrieval. 1455 - Markus Zlabinger:
Efficient and Effective Text-Annotation through Active Learning. 1456 - Hernan Sarmiento:
A Domain-Independent and Multilingual Approach for Crisis Event Detection and Understanding. 1457
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