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ORCID41st SIGIR 2018: Ann Arbor, MI, USA
- Kevyn Collins-Thompson, Qiaozhu Mei, Brian D. Davison, Yiqun Liu, Emine Yilmaz:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018. ACM 2018
Keynotes
- Kalervo Järvelin:
Salton Award Keynote: Information Interaction in Context. 1-2 - Rayid Ghani:
Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges. 3
Session 1A: New IR Applications
- Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu
, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. 5-14 - Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua:
Attentive Moment Retrieval in Videos. 15-24 - Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. 25-34 - Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord:
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. 35-44
Session 1B: Log Analysis
- Alexey Borisov, Martijn Wardenaar, Ilya Markov, Maarten de Rijke:
A Click Sequence Model for Web Search. 45-54 - Jean Garcia-Gathright, Brian St. Thomas, Christine Hosey, Zahra Nazari, Fernando Diaz:
Understanding and Evaluating User Satisfaction with Music Discovery. 55-64 - Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang:
Identifying Users behind Shared Accounts in Online Streaming Services. 65-74 - Ran Yu, Ujwal Gadiraju, Peter Holtz, Markus Rokicki, Philipp Kemkes, Stefan Dietze:
Predicting User Knowledge Gain in Informational Search Sessions. 75-84
Session 1C: Prediction
- Hafeezul Rahman Mohammad, Keyang Xu, Jamie Callan, J. Shane Culpepper:
Dynamic Shard Cutoff Prediction for Selective Search. 85-94 - Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu:
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. 95-104 - Hamed Zamani, W. Bruce Croft, J. Shane Culpepper:
Neural Query Performance Prediction using Weak Supervision from Multiple Signals. 105-114 - Lili Shan, Lei Lin, Chengjie Sun:
Combined Regression and Tripletwise Learning for Conversion Rate Prediction in Real-Time Bidding Advertising. 115-123
Session 1D: Learning to Rank I
- Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. 125-134 - Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. 135-144 - Huazheng Wang, Ramsey Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang:
Efficient Exploration of Gradient Space for Online Learning to Rank. 145-154 - Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani:
Selective Gradient Boosting for Effective Learning to Rank. 155-164
Session 2A: Sentiment & Opinion
- Nan Wang, Hongning Wang, Yiling Jia, Yue Yin:
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. 165-174 - Ke Wang, Xiaojun Wan:
Sentiment Analysis of Peer Review Texts for Scholarly Papers. 175-184
Session 2B: Social
- Peijie Sun, Le Wu, Meng Wang:
Attentive Recurrent Social Recommendation. 185-194 - Renfeng Ma, Qi Zhang, Jiawen Wang, Lizhen Cui, Xuanjing Huang:
Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network. 195-204 - Haokai Lu, Wei Niu, James Caverlee:
Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. 205-214
Session 2C: App Search & Recommendation
- Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. 215-224
Session 2D: Conversational Systems
- Zheqian Chen, Rongqin Yang, Zhou Zhao, Deng Cai, Xiaofei He:
Dialogue Act Recognition via CRF-Attentive Structured Network. 225-234 - Yueming Sun, Yi Zhang:
Conversational Recommender System. 235-244 - Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. 245-254 - Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie:
Chat More: Deepening and Widening the Chatting Topic via A Deep Model. 255-264
Session 3A: Social Good
- Koustav Rudra, Pawan Goyal, Niloy Ganguly, Prasenjit Mitra, Muhammad Imran:
Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs. 265-274 - Nguyen Vo, Kyumin Lee:
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News. 275-284
Session 3B: Privacy
- Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. 285-294 - Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu:
A Personal Privacy Preserving Framework: I Let You Know Who Can See What. 295-304 - Benjamin Weggenmann, Florian Kerschbaum:
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining. 305-314 - Shiyu Ji, Jinjin Shao, Daniel Agun, Tao Yang:
Privacy-aware Ranking with Tree Ensembles on the Cloud. 315-324
Session 3C: Question Answering
- Nam Khanh Tran, Claudia Niederée:
Multihop Attention Networks for Question Answer Matching. 325-334 - Evi Yulianti, Ruey-Cheng Chen, Falk Scholer, W. Bruce Croft, Mark Sanderson:
Ranking Documents by Answer-Passage Quality. 335-344 - Xiao Yang, Ahmed Hassan Awadallah, Madian Khabsa, Wei Wang, Miaosen Wang:
Characterizing and Supporting Question Answering in Human-to-Human Communication. 345-354
Session 3D: Learning to Rank II
- Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua:
Adversarial Personalized Ranking for Recommendation. 355-364 - Liang Wu, Diane Hu, Liangjie Hong, Huan Liu:
Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. 365-374 - Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. 375-384
Session 4A: Fairness & Robustness
- Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. 385-394 - Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking Robustness Under Adversarial Document Manipulations. 395-404 - Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum:
Equity of Attention: Amortizing Individual Fairness in Rankings. 405-414 - Rocío Cañamares, Pablo Castells:
Should I Follow the Crowd?: A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems. 415-424
Session 4B: Behavior
- Xiaohui Xie, Jiaxin Mao, Maarten de Rijke, Ruizhe Zhang, Min Zhang, Shaoping Ma:
Constructing an Interaction Behavior Model for Web Image Search. 425-434 - Hongyu Lu, Min Zhang, Shaoping Ma:
Between Clicks and Satisfaction: Study on Multi-Phase User Preferences and Satisfaction for Online News Reading. 435-444 - Robert Capra, Jaime Arguello, Heather O'Brien, Yuan Li, Bogeum Choi:
The Effects of Manipulating Task Determinability on Search Behaviors and Outcomes. 445-454
Session 4C: Medical & Legal IR
- Grace E. Lee, Aixin Sun:
Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine. 455-464 - Adam Roegiest, Alexander K. Hudek, Anne McNulty:
A Dataset and an Examination of Identifying Passages for Due Diligence. 465-474 - Harrisen Scells, Guido Zuccon:
Generating Better Queries for Systematic Reviews. 475-484 - Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu:
Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. 485-494
Session 4D: Recommender Systems - Methods
- Qingyun Wu, Naveen Iyer, Hongning Wang:
Learning Contextual Bandits in a Non-stationary Environment. 495-504 - Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang:
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. 505-514 - Travis Ebesu, Bin Shen, Yi Fang:
Collaborative Memory Network for Recommendation Systems. 515-524 - Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen:
Streaming Ranking Based Recommender Systems. 525-534
Session 5A: Location & Trajectory
- Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Zizhe Xie, Qizhi Liu, Xiaolin Qin:
Torch: A Search Engine for Trajectory Data. 535-544 - Hongwei Liang, Ke Wang:
Top-k Route Search through Submodularity Modeling of Recurrent POI Features. 545-554 - Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation. 555-564
Session 5B: Entities
- Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. 565-574 - Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. 575-584 - Jiacheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu:
Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. 585-594 - Shuo Zhang, Krisztian Balog:
On-the-fly Table Generation. 595-604
Session 5C: New Metrics
- Leif Azzopardi, Paul Thomas, Nick Craswell:
Measuring the Utility of Search Engine Result Pages: An Information Foraging Based Measure. 605-614 - Fan Zhang, Ke Zhou, Yunqiu Shao, Cheng Luo, Min Zhang, Shaoping Ma:
How Well do Offline and Online Evaluation Metrics Measure User Satisfaction in Web Image Search? 615-624 - Enrique Amigó, Damiano Spina, Jorge Carrillo de Albornoz:
An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric. 625-634
Session 5D: Recommender Systems - Applications
- Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. 635-644 - Da Cao, Xiangnan He, Lianhai Miao, Yahui An, Chao Yang, Richang Hong:
Attentive Group Recommendation. 645-654 - Qian Zhao, Paul N. Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan T. Dumais:
Calendar-Aware Proactive Email Recommendation. 655-664 - Tiziano Piccardi, Michele Catasta, Leila Zia, Robert West:
Structuring Wikipedia Articles with Section Recommendations. 665-674
Session 6A: Evaluation
- Kevin Roitero, Eddy Maddalena, Gianluca Demartini, Stefano Mizzaro:
On Fine-Grained Relevance Scales. 675-684 - Richard McCreadie, Craig Macdonald, Iadh Ounis:
Automatic Ground Truth Expansion for Timeline Evaluation. 685-694 - Julián Urbano, Thomas Nagler:
Stochastic Simulation of Test Collections: Evaluation Scores. 695-704 - Ben Carterette, Praveen Chandar:
Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback. 705-714
Session 6B: Hashing & Embedding
- Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou:
BiNE: Bipartite Network Embedding. 715-724 - Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei:
Deep Domain Adaptation Hashing with Adversarial Learning. 725-734 - Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu:
Fast Scalable Supervised Hashing. 735-744
Session 6C: Knowledge Bases/Graphs
- Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy:
Enriching Taxonomies With Functional Domain Knowledge. 745-754 - Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng:
On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. 755-764 - Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke:
Weakly-supervised Contextualization of Knowledge Graph Facts. 765-774
Session 6D: Mobile User Behavior
- Jiaxin Mao, Cheng Luo, Min Zhang, Shaoping Ma:
Constructing Click Models for Mobile Search. 775-784 - Jimmy Lin, Salman Mohammed, Royal Sequiera, Luchen Tan:
Update Delivery Mechanisms for Prospective Information Needs: An Analysis of Attention in Mobile Users. 785-794
Session 7A: Crowdsourcing & Assessment
- Shawn R. Wolfe, Yi Zhang:
Item Retrieval as Utility Estimation. 795-804 - Mücahid Kutlu, Tyler McDonnell, Yassmine Barkallah, Tamer Elsayed, Matthew Lease:
Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement? 805-814
Session 7B: Content & Semantics
- Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. 815-824 - Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei:
Identify Shifts of Word Semantics through Bayesian Surprise. 825-834 - Ido Guy, Bracha Shapira:
From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website. 835-844
Session 7C: Interfaces
- Harrie Oosterhuis, Maarten de Rijke:
Ranking for Relevance and Display Preferences in Complex Presentation Layouts. 845-854 - Yu Su, Ahmed Hassan Awadallah, Miaosen Wang, Ryen W. White:
Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs. 855-864
Short Research Papers I
- Christophe Van Gysel, Maarten de Rijke:
Pytrec_eval: An Extremely Fast Python Interface to trec_eval. 873-876 - Andrew Kane, Frank Wm. Tompa:
Split-Lists and Initial Thresholds for WAND-based Search. 877-880 - Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei:
Ontology Evaluation with Path-based Text-aware Entropy Computation. 881-884 - Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. 885-888 - Zitao Liu, Yan Yan, Milos Hauskrecht:
A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. 889-892 - Haggai Roitman:
Query Performance Prediction using Passage Information. 893-896 - Alistair Moffat, Alfan Farizki Wicaksono:
Users, Adaptivity, and Bad Abandonment. 897-900 - Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. 901-904 - Bahar Salehi, Damiano Spina, Alistair Moffat, Sargol Sadeghi, Falk Scholer, Timothy Baldwin, Lawrence Cavedon, Mark Sanderson, Wilson Wong, Justin Zobel:
A Living Lab Study of Query Amendment in Job Search. 905-908 - Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He:
Attention-driven Factor Model for Explainable Personalized Recommendation. 909-912 - Kevin Roitero, Eddy Maddalena, Yannick Ponte, Stefano Mizzaro:
IRevalOO: An Object Oriented Framework for Retrieval Evaluation. 913-916 - Chun-Chih Wang, Pu-Jen Cheng:
Translating Representations of Knowledge Graphs with Neighbors. 917-920 - Xinyu Liu, Zhaohua Zhang, Boran Hou, Rebecca J. Stones, Gang Wang, Xiaoguang Liu:
Index Compression for BitFunnel Query Processing. 921-924 - Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro:
Large-Scale Image Retrieval with Elasticsearch. 925-928 - Nan Xu, Wenji Mao, Guandan Chen:
A Co-Memory Network for Multimodal Sentiment Analysis. 929-932 - Jahna Otterbacher, Alessandro Checco, Gianluca Demartini, Paul D. Clough:
Investigating User Perception of Gender Bias in Image Search: The Role of Sexism. 933-936 - Boon-Siew Seah, Aixin Sun, Sourav S. Bhowmick:
Killing Two Birds With One Stone: Concurrent Ranking of Tags and Comments of Social Images. 937-940 - Gang Yang, Jinlu Liu, Xirong Li:
Imagination Based Sample Construction for Zero-Shot Learning. 941-944 - Dominik Wurzer, Yumeng Qin:
Parameterizing Kterm Hashing. 945-948 - Jie Zou, Dan Li, Evangelos Kanoulas:
Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers. 949-952 - Dominic Seyler, Praveen Chandar, Matthew Davis:
An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings. 953-956 - Walid Shalaby, Wlodek Zadrozny:
Toward an Interactive Patent Retrieval Framework based on Distributed Representations. 957-960 - Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. 961-964 - Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu:
Review Sentiment-Guided Scalable Deep Recommender System. 965-968 - Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha:
Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. 969-972 - Mohsan Jameel, Nicolas Schilling, Lars Schmidt-Thieme:
Towards Distributed Pairwise Ranking using Implicit Feedback. 973-976 - John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork:
Semantic Location in Email Query Suggestion. 977-980 - Qidi Xu, Fumin Shen, Li Liu, Heng Tao Shen:
GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder. 981-984 - Yifan Nie, Alessandro Sordoni, Jian-Yun Nie:
Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval. 985-988