default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-03 20:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
