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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 - Chen Qu, Liu Yang, W. Bruce Croft, Johanne R. Trippas, Yongfeng Zhang, Minghui Qiu:
Analyzing and Characterizing User Intent in Information-seeking Conversations. 989-992 - Sagar Uprety, Yi Su, Dawei Song, Jingfei Li:
Modeling Multidimensional User Relevance in IR using Vector Spaces. 993-996 - Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai:
Are we on the Right Track?: An Examination of Information Retrieval Methodologies. 997-1000 - Hamed Khanpour, Cornelia Caragea:
Fine-Grained Information Identification in Health Related Posts. 1001-1004 - Omar Alonso, Thibault Sellam:
Quantitative Information Extraction From Social Data. 1005-1008 - Noam Segev, Noam Avigdor, Eytan Avigdor:
Measuring Influence on Instagram: A Network-Oblivious Approach. 1009-1012 - Vinay Setty, Katja Hose:
Event2Vec: Neural Embeddings for News Events. 1013-1016 - Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft:
Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. 1017-1020 - Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic:
Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. 1021-1024 - Daniel Cohen, Bhaskar Mitra, Katja Hofmann, W. Bruce Croft:
Cross Domain Regularization for Neural Ranking Models using Adversarial Learning. 1025-1028 - Ameeta Agrawal, Aijun An:
Affective Representations for Sarcasm Detection. 1029-1032 - Wei-Fan Chen, Matthias Hagen, Benno Stein, Martin Potthast:
A User Study on Snippet Generation: Text Reuse vs. Paraphrases. 1033-1036 - Sandeep Subramanian, Soumen Chakrabarti:
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations. 1037-1040 - Lingyu Zhang, Wei Ai, Chuan Yuan, Yuhui Zhang, Jieping Ye:
Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms. 1041-1044 - Sergey Volokhin, Eugene Agichtein:
Towards Intent-Aware Contextual Music Recommendation: Initial Experiments. 1045-1048 - Sitong Mao, Xiao Shen, Fu-Lai Chung:
Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance. 1049-1052 - Guosai Wang, Shiyang Xiang, Yitao Duan, Ling Huang, Wei Xu:
Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis. 1053-1056 - Xiang Lin, Shuzi Niu, Yiqiao Wang, Yucheng Li:
K-plet Recurrent Neural Networks for Sequential Recommendation. 1057-1060 - Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan:
Citation Worthiness of Sentences in Scientific Reports. 1061-1064
Short Research Papers II
- Weiwei Deng, Xiaoliang Ling, Yang Qi, Tunzi Tan, Eren Manavoglu, Qi Zhang:
Ad Click Prediction in Sequence with Long Short-Term Memory Networks: an Externality-aware Model. 1065-1068 - Adam Fourney, Meredith Ringel Morris, Abdullah X. Ali, Laura Vonessen:
Assessing the Readability of Web Search Results for Searchers with Dyslexia. 1069-1072 - Tetsuya Sakai:
Comparing Two Binned Probability Distributions for Information Access Evaluation. 1073-1076 - Peng Yang, Peilin Zhao, Vincent W. Zheng, Lizhong Ding, Xin Gao:
Robust Asymmetric Recommendation via Min-Max Optimization. 1077-1080 - Rocío Cañamares, Pablo Castells:
From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems. 1081-1084 - Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh:
Deep Learning for Epidemiological Predictions. 1085-1088 - Harrisen Scells, Leif Azzopardi, Guido Zuccon, Bevan Koopman:
Query Variation Performance Prediction for Systematic Reviews. 1089-1092 - Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke:
Attention-based Hierarchical Neural Query Suggestion. 1093-1096 - Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu:
Texygen: A Benchmarking Platform for Text Generation Models. 1097-1100 - Cong Du, Peng Shu, Yong Li:
CA-LSTM: Search Task Identification with Context Attention based LSTM. 1101-1104 - Jimmy, Guido Zuccon, Gianluca Demartini:
On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research. 1105-1108 - Suthee Chaidaroon, Travis Ebesu, Yi Fang:
Deep Semantic Text Hashing with Weak Supervision. 1109-1112 - Yang Liu, Tobey H. Ko, Zhonglei Gu:
Who is the Mr. Right for Your Brand?: - Discovering Brand Key Assets via Multi-modal Asset-aware Projection. 1113-1116 - Yukun Zheng, Zhen Fan, Yiqun Liu, Cheng Luo, Min Zhang, Shaoping Ma:
Sogou-QCL: A New Dataset with Click Relevance Label. 1117-1120 - Mengyang Liu, Yiqun Liu, Jiaxin Mao, Cheng Luo, Shaoping Ma:
Towards Designing Better Session Search Evaluation Metrics. 1121-1124 - Ismail Badache, Sébastien Fournier, Adrian-Gabriel Chifu:
Predicting Contradiction Intensity: Low, Strong or Very Strong? 1125-1128 - Xiaochuan Wang, Ning Su, Zexue He, Yiqun Liu, Shaoping Ma:
A Large-Scale Study of Mobile Search Examination Behavior. 1129-1132 - Min Min Chew, Sourav S. Bhowmick, Adam Jatowt:
Ranking Without Learning: Towards Historical Relevance-based Ranking of Social Images. 1133-1136 - Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai:
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. 1137-1140 - Matthew Mitsui, Jiqun Liu, Chirag Shah:
How Much is Too Much?: Whole Session vs. First Query Behaviors in Task Type Prediction. 1141-1144 - Kevin Roitero, Michael Soprano, Stefano Mizzaro:
Effectiveness Evaluation with a Subset of Topics: A Practical Approach. 1145-1148 - Ozer Ozdikis, Heri Ramampiaro, Kjetil Nørvåg:
Locality-adapted Kernel Densities for Tweet Localization. 1149-1152 - Wei Emma Zhang, Quan Z. Sheng, Zhejun Tang, Wenjie Ruan:
Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks. 1153-1156 - Procheta Sen, Debasis Ganguly, Gareth J. F. Jones:
Procrastination is the Thief of Time: Evaluating the Effectiveness of Proactive Search Systems. 1157-1160 - Chuang Fan, Qinghong Gao, Jiachen Du, Lin Gui, Ruifeng Xu, Kam-Fai Wong:
Convolution-based Memory Network for Aspect-based Sentiment Analysis. 1161-1164 - Daniel Cohen, Liu Yang, W. Bruce Croft:
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval. 1165-1168 - Gordon V. Cormack, Maura R. Grossman:
Beyond Pooling. 1169-1172 - Eilon Sheetrit, Anna Shtok, Oren Kurland, Igal Shprincis:
Testing the Cluster Hypothesis with Focused and Graded Relevance Judgments. 1173-1176 - Adrian-Gabriel Chifu, Léa Laporte, Josiane Mothe, Md. Zia Ullah:
Query Performance Prediction Focused on Summarized Letor Features. 1177-1180 - Meng Yang, Peng Zhang, Dawei Song:
A Study of Per-Topic Variance on System Comparison. 1181-1184 - Behrooz Mansouri, Mohammad Sadegh Zahedi, Ricardo Campos, Mojgan Farhoodi:
Online Job Search: Study of Users' Search Behavior using Search Engine Query Logs. 1185-1188 - Dan Wu, Jing Dong, Yuan Tang:
Identifying and Modeling Information Resumption Behaviors in Cross-Device Search. 1189-1192 - Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary:
Optimizing Query Evaluations Using Reinforcement Learning for Web Search. 1193-1196 - Zeyang Lei, Yujiu Yang, Min Yang:
SAAN: A Sentiment-Aware Attention Network for Sentiment Analysis. 1197-1200 - Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen:
An Attribute-aware Neural Attentive Model for Next Basket Recommendation. 1201-1204 - Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder:
Characterizing Question Facets for Complex Answer Retrieval. 1205-1208 - Rashmi Sankepally, Tongfei Chen, Benjamin Van Durme, Douglas W. Oard:
A Test Collection for Coreferent Mention Retrieval. 1209-1212 - Jinfeng Rao, Ferhan Türe, Jimmy Lin:
What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems. 1213-1216 - Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. 1217-1220 - Myungha Jang, James Allan:
Explaining Controversy on Social Media via Stance Summarization. 1221-1224 - Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma:
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. 1225-1228 - Penghui Wei, Junjie Lin, Wenji Mao:
Multi-Target Stance Detection via a Dynamic Memory-Augmented Network. 1229-1232 - Stefano Mizzaro, Josiane Mothe, Kevin Roitero, Md. Zia Ullah:
Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin. 1233-1236 - Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He:
A New Term Frequency Normalization Model for Probabilistic Information Retrieval. 1237-1240 - Alexander Moore, Vanessa Murdock, Yaxiong Cai, Kristine Jones:
Transparent Tree Ensembles. 1241-1244 - Parikshit Sondhi, Mohit Sharma, Pranam Kolari, ChengXiang Zhai:
A Taxonomy of Queries for E-commerce Search. 1245-1248 - Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback. 1249-1252 - Robert Litschko, Goran Glavas, Simone Paolo Ponzetto, Ivan Vulic:
Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only. 1253-1256 - Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, Matthias Hagen:
Toward Voice Query Clarification. 1257-1260 - Daniel Locke, Guido Zuccon:
A Test Collection for Evaluating Legal Case Law Search. 1261-1264
Demonstration Papers I
- Sindunuraga Rikarno Putra, Felipe Moraes, Claudia Hauff:
SearchX: Empowering Collaborative Search Research. 1265-1268 - Mónica Marrero, Claudia Hauff:
A/B Testing with APONE. 1269-1272 - Minh C. Phan, Aixin Sun:
CoNEREL: Collective Information Extraction in News Articles. 1273-1276 - Sarvnaz Karimi, Vincent Nguyen, Falk Scholer, Brian Jin, Sara Falamaki:
A2A: Benchmark Your Clinical Decision Support Search. 1277-1280 - Harrisen Scells, Daniel Locke, Guido Zuccon:
An Information Retrieval Experiment Framework for Domain Specific Applications. 1281-1284 - Jeffrey Dalton, Victor Ajayi, Richard Main:
Vote Goat: Conversational Movie Recommendation. 1285-1288 - Luyan Xu, Zeon Trevor Fernando, Xuan Zhou, Wolfgang Nejdl:
LogCanvas: Visualizing Search History Using Knowledge Graphs. 1289-1292 - Jing Li, Aixin Sun, Zhenchang Xing, Lei Han:
API Caveat Explorer - Surfacing Negative Usages from Practice: An API-oriented Interactive Exploratory Search System for Programmers. 1293-1296 - Shuo Zhang, Vugar Abdul Zada, Krisztian Balog:
SmartTable: A Spreadsheet Program with Intelligent Assistance. 1297-1300
Demonstration Papers II
- Tuukka Ruotsalo, Antti Lipsanen:
Interactive Symptom Elicitation for Diagnostic Information Retrieval. 1301-1304 - Asmelash Teka Hadgu, Sallam Abualhaija, Claudia Niederée:
Sover! Social Media Observer. 1305-1308 - Craig Macdonald:
Combining Terrier with Apache Spark to create Agile Experimental Information Retrieval Pipelines. 1309-1312 - Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Akhilesh Vyas, Maria-Esther Vidal:
Dynamic Composition of Question Answering Pipelines with FRANKENSTEIN. 1313-1316 - Mustafa Abualsaud, Nimesh Ghelani, Haotian Zhang, Mark D. Smucker, Gordon V. Cormack, Maura R. Grossman:
A System for Efficient High-Recall Retrieval. 1317-1320 - Norman Meuschke, Vincent Stange, Moritz Schubotz, Bela Gipp:
HyPlag: A Hybrid Approach to Academic Plagiarism Detection. 1321-1324 - Mir Anamul Hasan, Daniel G. Schwartz:
RecAdvisor: Criteria-based Ph.D. Supervisor Recommendation. 1325-1328 - Andrew Jie Zhou, Grace Hui Yang:
Minority Report by Lemur: Supporting Search Engine with Virtual Reality. 1329-1332 - Puxuan Yu, Wasi Uddin Ahmad, Hongning Wang:
Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search. 1333-1336
SIRIP: Industry Days
- Rajeev Rastogi:
Machine Learning @ Amazon. 1337-1338 - Charu C. Aggarwal:
Extracting Real-Time Insights from Graphs and Social Streams. 1339 - Jieping Ye:
Big Data at Didi Chuxing. 1341 - Xian-Sheng Hua:
The City Brain: Towards Real-Time Search for the Real-World. 1343-1344 - Emre Kiciman:
Causal Inference over Longitudinal Data to Support Expectation Exploration. 1345 - Ted Tao Yuan, Zezhong Zhang:
Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion. 1347-1348 - David Carmel, Liane Lewin-Eytan, Yoelle Maarek:
Product Question Answering Using Customer Generated Content - Research Challenges. 1349-1350 - Konstantine Arkoudas, Mohamed Yahya:
Auto-completion for Question Answering Systems at Bloomberg. 1351-1352 - Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi:
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. 1353-1354 - Ajeet Grewal, Jimmy Lin:
The Evolution of Content Analysis for Personalized Recommendations at Twitter. 1355-1356 - James Wong, Brendan Collins, Ganesh Venkataraman:
Large Scale Search Engine Marketing (SEM) at Airbnb. 1357-1358 - Inho Kang:
Clova: Services and Devices Powered by AI. 1359 - Manoj Kumar Chinnakotla, Puneet Agrawal:
Lessons from Building a Large-scale Commercial IR-based Chatbot for an Emerging Market. 1361-1362 - Perry Samson, Charles Bassam:
LessonWare: Mining Student Notes to Provide Personalized Feedback. 1363-1364
Tutorials
- Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. 1365-1368 - Tetsuya Sakai:
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-on Tutorial. 1369-1370 - Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. 1371-1374 - Weinan Zhang:
Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. 1375-1378 - Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. 1379-1382 - Oren Kurland, J. Shane Culpepper:
Fusion in Information Retrieval: SIGIR 2018 Half-Day Tutorial. 1383-1386 - Laura Dietz, Alexander Kotov, Edgar Meij:
Utilizing Knowledge Graphs for Text-Centric Information Retrieval. 1387-1390 - Guido Zuccon, Bevan Koopman:
SIGIR 2018 Tutorial on Health Search (HS2018): A Full-day from Consumers to Clinicians. 1391-1394 - ChengXiang Zhai, Chase Geigle:
A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis. 1395-1398 - Soumen Chakrabarti:
Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between. 1399-1402 - Nicola Tonellotto, Craig Macdonald:
Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. 1403-1406
Workshops
- Jon Degenhardt, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Yiu-Chang Lin, Andrew Trotman, Huasha Zhao:
SIGIR 2018 Workshop on eCommerce (ECOM18). 1407-1409 - Yongfeng Zhang, Yi Zhang, Min Zhang:
SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018). 1411-1413 - Muthu Kumar Chandrasekaran, Kokil Jaidka, Philipp Mayr:
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018). 1415-1418 - Paul Groth, Laura Koesten, Philipp Mayr, Maarten de Rijke, Elena Simperl:
DATA: SEARCH'18 - Searching Data on the Web. 1419-1422 - Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij:
The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR). 1423-1426 - Xi Niu, Wlodek Zadrozny, Kazjon Grace, Weimao Ke:
Computational Surprise in Information Retrieval. 1427-1429 - Suzan Verberne, Jiyin He, Udo Kruschwitz, Birger Larsen, Tony Russell-Rose, Arjen P. de Vries:
First International Workshop on Professional Search (ProfS2018). 1431-1434 - Jaime Arguello, Filip Radlinski, Hideo Joho, Damiano Spina, Julia Kiseleva:
Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018. 1435-1437 - Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell:
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. 1439-1440 - Yan Liu, Zhenhui Li, Wei Ai, Lingyu Zhang:
SIGIR 2018 Workshop on Intelligent Transportation Informatics. 1441-1443
Doctoral Consortium
- Steven Zimmerman:
Exploring Potential Pathways to Address Bias and Ethics in IR. 1445 - Shuo Zhang:
SmartTable: Equipping Spreadsheets with Intelligent AssistanceFunctionalities. 1447 - Luke Gallagher:
Efficiency-Effectiveness Trade-Offs in Machine Learned Models for Information Retrieval. 1449 - Stefano Marchesin:
Case-Based Retrieval Using Document-Level Semantic Networks. 1451 - Eilon Sheetrit:
Utilizing Inter-Passage Similarities for Focused Retrieval. 1453 - Anirban Chakraborty:
Enhanced Contextual Recommendation using Social Media Data. 1455 - Darío Garigliotti:
A Semantic Search Approach to Task-Completion Engines. 1457 - Kristine M. Rogers:
Addressing News-Related Standing Information Needs. 1459 - Harrisen Scells:
Improving Systematic Review Creation With Information Retrieval. 1461 - Unni Krishnan:
Design and Evaluation of Query Auto Completion Mechanisms. 1463 - Sudeshna Das:
Better Textbooks with Human Language Technology. 1465 - Kevin Roitero:
CHEERS: CHeap & Engineered Evaluation of Retrieval Systems. 1467
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