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The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Salton Award Keynote: Information Interaction in Context
Kalervo Järvelin

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Data Science for Social Good and Public Policy: Examples, Opportunities, and Challenges
Rayid Ghani

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Neural Compatibility Modeling with Attentive Knowledge Distillation
Xuemeng Song | Fuli Feng | Xianjing Han | Xin Yang | Wei Liu | Liqiang Nie

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Attentive Moment Retrieval in Videos
Meng Liu | Xiang Wang | Liqiang Nie | Xiangnan He | Baoquan Chen | Tat-Seng Chua

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Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin | Hengshu Zhu | Tong Xu | Chen Zhu | Liang Jiang | Enhong Chen | Hui Xiong

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Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
Micael Carvalho | Rémi Cadène | David Picard | Laure Soulier | Nicolas Thome | Matthieu Cord

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A Click Sequence Model for Web Search
Alexey Borisov | Martijn Wardenaar | Ilya Markov | Maarten de Rijke

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Understanding and Evaluating User Satisfaction with Music Discovery
Jean Garcia-Gathright | Brian St. Thomas | Christine Hosey | Zahra Nazari | Fernando Diaz

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Identifying Users behind Shared Accounts in Online Streaming Services
Jyun-Yu Jiang | Cheng-Te Li | Yian Chen | Wei Wang

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Predicting User Knowledge Gain in Informational Search Sessions
Ran Yu | Ujwal Gadiraju | Peter Holtz | Markus Rokicki | Philipp Kemkes | Stefan Dietze

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Dynamic Shard Cutoff Prediction for Selective Search
Hafeezul Rahman Mohammad | Keyang Xu | Jamie Callan | J. Shane Culpepper

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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai | Wei-Cheng Chang | Yiming Yang | Hanxiao Liu

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Neural Query Performance Prediction using Weak Supervision from Multiple Signals
Hamed Zamani | W. Bruce Croft | J. Shane Culpepper

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Combined Regression and Tripletwise Learning for Conversion Rate Prediction in Real-Time Bidding Advertising
Lili Shan | Lei Lin | Chengjie Sun

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From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks
Yue Feng | Jun Xu | Yanyan Lan | Jiafeng Guo | Wei Zeng | Xueqi Cheng

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Learning a Deep Listwise Context Model for Ranking Refinement
Qingyao Ai | Keping Bi | Jiafeng Guo | W. Bruce Croft

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Efficient Exploration of Gradient Space for Online Learning to Rank
Huazheng Wang | Ramsey Langley | Sonwoo Kim | Eric McCord-Snook | Hongning Wang

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Selective Gradient Boosting for Effective Learning to Rank
Claudio Lucchese | Franco Maria Nardini | Raffaele Perego | Salvatore Orlando | Salvatore Trani

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Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
Nan Wang | Hongning Wang | Yiling Jia | Yue Yin

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Sentiment Analysis of Peer Review Texts for Scholarly Papers
Ke Wang | Xiaojun Wan

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Attentive Recurrent Social Recommendation
Peijie Sun | Le Wu | Meng Wang

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Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network
Renfeng Ma | Qi Zhang | Jiawen Wang | Lizhen Cui | Xuanjing Huang

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Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization
Haokai Lu | Wei Niu | James Caverlee

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Target Apps Selection: Towards a Unified Search Framework for Mobile Devices
Mohammad Aliannejadi | Hamed Zamani | Fabio Crestani | W. Bruce Croft

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Dialogue Act Recognition via CRF-Attentive Structured Network
Zheqian Chen | Rongqin Yang | Zhou Zhao | Deng Cai | Xiaofei He

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Conversational Recommender System
Yueming Sun | Yi Zhang

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Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang | Minghui Qiu | Chen Qu | Jiafeng Guo | Yongfeng Zhang | W. Bruce Croft | Jun Huang | Haiqing Chen

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Chat More: Deepening and Widening the Chatting Topic via A Deep Model
Wenjie Wang | Minlie Huang | Xin-Shun Xu | Fumin Shen | Liqiang Nie

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Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs
Koustav Rudra | Pawan Goyal | Niloy Ganguly | Prasenjit Mitra | Muhammad Imran

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The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News
Nguyen Vo | Kyumin Lee

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Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search
Wasi Uddin Ahmad | Kai-Wei Chang | Hongning Wang

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A Personal Privacy Preserving Framework: I Let You Know Who Can See What
Xuemeng Song | Xiang Wang | Liqiang Nie | Xiangnan He | Zhumin Chen | Wei Liu

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SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
Benjamin Weggenmann | Florian Kerschbaum

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Privacy-aware Ranking with Tree Ensembles on the Cloud
Shiyu Ji | Jinjin Shao | Daniel Agun | Tao Yang

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Multihop Attention Networks for Question Answer Matching
Nam Khanh Tran | Claudia Niederée

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Ranking Documents by Answer-Passage Quality
Evi Yulianti | Ruey-Cheng Chen | Falk Scholer | W. Bruce Croft | Mark Sanderson

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Characterizing and Supporting Question Answering in Human-to-Human Communication
Xiao Yang | Ahmed Hassan Awadallah | Madian Khabsa | Wei Wang | Miaosen Wang

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Adversarial Personalized Ranking for Recommendation
Xiangnan He | Zhankui He | Xiaoyu Du | Tat-Seng Chua

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Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce
Liang Wu | Diane Hu | Liangjie Hong | Huan Liu

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Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
Yixing Fan | Jiafeng Guo | Yanyan Lan | Jun Xu | Chengxiang Zhai | Xueqi Cheng

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Unbiased Learning to Rank with Unbiased Propensity Estimation
Qingyao Ai | Keping Bi | Cheng Luo | Jiafeng Guo | W. Bruce Croft

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Ranking Robustness Under Adversarial Document Manipulations
Gregory Goren | Oren Kurland | Moshe Tennenholtz | Fiana Raiber

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Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J. Biega | Krishna P. Gummadi | Gerhard Weikum

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Should I Follow the Crowd?: A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems
Rocío Cañamares | Pablo Castells

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Constructing an Interaction Behavior Model for Web Image Search
Xiaohui Xie | Jiaxin Mao | Maarten de Rijke | Ruizhe Zhang | Min Zhang | Shaoping Ma

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Between Clicks and Satisfaction: Study on Multi-Phase User Preferences and Satisfaction for Online News Reading
Hongyu Lu | Min Zhang | Shaoping Ma

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The Effects of Manipulating Task Determinability on Search Behaviors and Outcomes
Robert Capra | Jaime Arguello | Heather O'Brien | Yuan Li | Bogeum Choi

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Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine
Grace E. Lee | Aixin Sun

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A Dataset and an Examination of Identifying Passages for Due Diligence
Adam Roegiest | Alexander K. Hudek | Anne McNulty

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Generating Better Queries for Systematic Reviews
Harrisen Scells | Guido Zuccon

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Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles
Pengfei Wang | Ze Yang | Shuzi Niu | Yongfeng Zhang | Lei Zhang | ShaoZhang Niu

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Learning Contextual Bandits in a Non-stationary Environment
Qingyun Wu | Naveen Iyer | Hongning Wang

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Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
Jin Huang | Wayne Xin Zhao | Hongjian Dou | Ji-Rong Wen | Edward Y. Chang

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Collaborative Memory Network for Recommendation Systems
Travis Ebesu | Bin Shen | Yi Fang

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Streaming Ranking Based Recommender Systems
Weiqing Wang | Hongzhi Yin | Zi Huang | Qinyong Wang | Xingzhong Du | Quoc Viet Hung Nguyen

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Torch: A Search Engine for Trajectory Data
Sheng Wang | Zhifeng Bao | J. Shane Culpepper | Zizhe Xie | Qizhi Liu | Xiaolin Qin

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Top-k Route Search through Submodularity Modeling of Recurrent POI Features
Hongwei Liang | Ke Wang

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A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation
Jarana Manotumruksa | Craig Macdonald | Iadh Ounis

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Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach
Jiaming Shen | Jinfeng Xiao | Xinwei He | Jingbo Shang | Saurabh Sinha | Jiawei Han

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Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling
Chenyan Xiong | Zhengzhong Liu | Jamie Callan | Tie-Yan Liu

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Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution
JiaCheng Huang | Wei Hu | Haoxuan Li | Yuzhong Qu

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On-the-fly Table Generation
Shuo Zhang | Krisztian Balog

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Measuring the Utility of Search Engine Result Pages: An Information Foraging Based Measure
Leif Azzopardi | Paul Thomas | Nick Craswell

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How Well do Offline and Online Evaluation Metrics Measure User Satisfaction in Web Image Search?
Fan Zhang | Ke Zhou | Yunqiu Shao | Cheng Luo | Min Zhang | Shaoping Ma

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An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric
Enrique Amigó | Damiano Spina | Jorge Carrillo de Albornoz

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Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
Zhuoren Jiang | Yue Yin | Liangcai Gao | Yao Lu | Xiaozhong Liu

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Attentive Group Recommendation
Da Cao | Xiangnan He | Lianhai Miao | Yahui An | Chao Yang | Richang Hong

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Calendar-Aware Proactive Email Recommendation
Qian Zhao | Paul N. Bennett | Adam Fourney | Anne Loomis Thompson | Shane Williams | Adam D. Troy | Susan T. Dumais

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Structuring Wikipedia Articles with Section Recommendations
Tiziano Piccardi | Michele Catasta | Leila Zia | Robert West

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On Fine-Grained Relevance Scales
Kevin Roitero | Eddy Maddalena | Gianluca Demartini | Stefano Mizzaro

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Automatic Ground Truth Expansion for Timeline Evaluation
Richard McCreadie | Craig Macdonald | Iadh Ounis

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Stochastic Simulation of Test Collections: Evaluation Scores
Julián Urbano | Thomas Nagler

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Offline Comparative Evaluation with Incremental, Minimally-Invasive Online Feedback
Ben Carterette | Praveen Chandar

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BiNE: Bipartite Network Embedding
Ming Gao | Leihui Chen | Xiangnan He | Aoying Zhou

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Deep Domain Adaptation Hashing with Adversarial Learning
Fuchen Long | Ting Yao | Qi Dai | Xinmei Tian | Jiebo Luo | Tao Mei

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Fast Scalable Supervised Hashing
Xin Luo | Liqiang Nie | Xiangnan He | Ye Wu | Zhen-Duo Chen | Xin-Shun Xu

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Enriching Taxonomies With Functional Domain Knowledge
Nikhita Vedula | Patrick K. Nicholson | Deepak Ajwani | Sourav Dutta | Alessandra Sala | Srinivasan Parthasarathy

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On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols
Jiajie Mei | Richong Zhang | Yongyi Mao | Ting Deng

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Weakly-supervised Contextualization of Knowledge Graph Facts
Nikos Voskarides | Edgar Meij | Ridho Reinanda | Abhinav Khaitan | Miles Osborne | Giorgio Stefanoni | Prabhanjan Kambadur | Maarten de Rijke

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Constructing Click Models for Mobile Search
Jiaxin Mao | Cheng Luo | Min Zhang | Shaoping Ma

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Update Delivery Mechanisms for Prospective Information Needs: An Analysis of Attention in Mobile Users
Jimmy Lin | Salman Mohammed | Royal Sequiera | Luchen Tan

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Item Retrieval as Utility Estimation
Shawn R. Wolfe | Yi Zhang

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Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement?
Mücahid Kutlu | Tyler McDonnell | Yassmine Barkallah | Tamer Elsayed | Matthew Lease

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CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network
Qin Chen | Qinmin Hu | Jimmy Xiangji Huang | Liang He

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Identify Shifts of Word Semantics through Bayesian Surprise
Zhuofeng Wu | Cheng Li | Zhe Zhao | Fei Wu | Qiaozhu Mei

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From Royals to Vegans: Characterizing Question Trolling on a Community Question Answering Website
Ido Guy | Bracha Shapira

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Ranking for Relevance and Display Preferences in Complex Presentation Layouts
Harrie Oosterhuis | Maarten de Rijke

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Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs
Yu Su | Ahmed Hassan Awadallah | Miaosen Wang | Ryen W. White

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Pytrec_eval: An Extremely Fast Python Interface to trec_eval
Christophe Van Gysel | Maarten de Rijke

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Split-Lists and Initial Thresholds for WAND-based Search
Andrew Kane | Frank Wm. Tompa

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Ontology Evaluation with Path-based Text-aware Entropy Computation
Ying Shen | Daoyuan Chen | Min Yang | Yaliang Li | Nan Du | Kai Lei

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Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method
Sihao Yu | Jun Xu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng

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A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic
Zitao Liu | Yan Yan | Milos Hauskrecht

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Query Performance Prediction using Passage Information
Haggai Roitman

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Users, Adaptivity, and Bad Abandonment
Alistair Moffat | Alfan Farizki Wicaksono

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Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs
Ying Shen | Yang Deng | Min Yang | Yaliang Li | Nan Du | Wei Fan | Kai Lei

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A Living Lab Study of Query Amendment in Job Search
Bahar Salehi | Damiano Spina | Alistair Moffat | Sargol Sadeghi | Falk Scholer | Timothy Baldwin | Lawrence Cavedon | Mark Sanderson | Wilson Wong | Justin Zobel

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Attention-driven Factor Model for Explainable Personalized Recommendation
Jingwu Chen | Fuzhen Zhuang | Xin Hong | Xiang Ao | Xing Xie | Qing He

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IRevalOO: An Object Oriented Framework for Retrieval Evaluation
Kevin Roitero | Eddy Maddalena | Yannick Ponte | Stefano Mizzaro

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Translating Representations of Knowledge Graphs with Neighbors
Chun-Chih Wang | Pu-Jen Cheng

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Index Compression for BitFunnel Query Processing
Xinyu Liu | Zhaohua Zhang | Boran Hou | Rebecca J. Stones | Gang Wang | Xiaoguang Liu

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Large-Scale Image Retrieval with Elasticsearch
Giuseppe Amato | Paolo Bolettieri | Fabio Carrara | Fabrizio Falchi | Claudio Gennaro

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A Co-Memory Network for Multimodal Sentiment Analysis
Nan Xu | Wenji Mao | Guandan Chen

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Investigating User Perception of Gender Bias in Image Search: The Role of Sexism
Jahna Otterbacher | Alessandro Checco | Gianluca Demartini | Paul D. Clough

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Killing Two Birds With One Stone: Concurrent Ranking of Tags and Comments of Social Images
Boon-Siew Seah | Aixin Sun | Sourav S. Bhowmick

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Imagination Based Sample Construction for Zero-Shot Learning
Gang Yang | Jinlu Liu | Xirong Li

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Parameterizing Kterm Hashing
Dominik Wurzer | Yumeng Qin

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Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers
Jie Zou | Dan Li | Evangelos Kanoulas

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An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings
Dominic Seyler | Praveen Chandar | Matthew Davis

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Toward an Interactive Patent Retrieval Framework based on Distributed Representations
Walid Shalaby | Wlodek Zadrozny

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Consistency and Variation in Kernel Neural Ranking Model
Mary Arpita Pyreddy | Varshini Ramaseshan | Narendra Nath Joshi | Zhuyun Dai | Chenyan Xiong | Jamie Callan | Zhiyuan Liu

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Review Sentiment-Guided Scalable Deep Recommender System
Dongmin Hyun | Chanyoung Park | Min-Chul Yang | Ilhyeon Song | Jung-Tae Lee | Hwanjo Yu

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Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia
Wenwei Liang | Wei Zhang | Bo Jin | Jiangjiang Xu | Linhua Shu | Hongyuan Zha

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Towards Distributed Pairwise Ranking using Implicit Feedback
Mohsan Jameel | Nicolas Schilling | Lars Schmidt-Thieme

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Semantic Location in Email Query Suggestion
John Foley | Mingyang Zhang | Michael Bendersky | Marc Najork

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GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder
Qidi Xu | Fumin Shen | Li Liu | Heng Tao Shen

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Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval
Yifan Nie | Alessandro Sordoni | Jian-Yun Nie

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Analyzing and Characterizing User Intent in Information-seeking Conversations
Chen Qu | Liu Yang | W. Bruce Croft | Johanne R. Trippas | Yongfeng Zhang | Minghui Qiu

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Modeling Multidimensional User Relevance in IR using Vector Spaces
Sagar Uprety | Yi Su | Dawei Song | Jingfei Li

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Are we on the Right Track?: An Examination of Information Retrieval Methodologies
Enrique Amigó | Hui Fang | Stefano Mizzaro | ChengXiang Zhai

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Fine-Grained Information Identification in Health Related Posts
Hamed Khanpour | Cornelia Caragea

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Quantitative Information Extraction From Social Data
Omar Alonso | Thibault Sellam

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Measuring Influence on Instagram: A Network-Oblivious Approach
Noam Segev | Noam Avigdor | Eytan Avigdor

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Event2Vec: Neural Embeddings for News Events
Vinay Setty | Katja Hose

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Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks
Daniel Cohen | John Foley | Hamed Zamani | James Allan | W. Bruce Croft

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Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks
Djordje Gligorijevic | Jelena Gligorijevic | Aravindan Raghuveer | Mihajlo Grbovic | Zoran Obradovic

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Cross Domain Regularization for Neural Ranking Models using Adversarial Learning
Daniel Cohen | Bhaskar Mitra | Katja Hofmann | W. Bruce Croft

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Affective Representations for Sarcasm Detection
Ameeta Agrawal | Aijun An

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A User Study on Snippet Generation: Text Reuse vs. Paraphrases
Wei-Fan Chen | Matthias Hagen | Benno Stein | Martin Potthast

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New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations
Sandeep Subramanian | Soumen Chakrabarti

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Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms
Lingyu Zhang | Wei Ai | Chuan Yuan | Yuhui Zhang | Jieping Ye

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Towards Intent-Aware Contextual Music Recommendation: Initial Experiments
Sergey Volokhin | Eugene Agichtein

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Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance
Sitong Mao | Xiao Shen | Fu-Lai Chung

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Do Not Pull My Data for Resale: Protecting Data Providers Using Data Retrieval Pattern Analysis
Guosai Wang | Shiyang Xiang | Yitao Duan | Ling Huang | Wei Xu

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K-plet Recurrent Neural Networks for Sequential Recommendation
Xiang Lin | Shuzi Niu | Yiqiao Wang | Yucheng Li

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Citation Worthiness of Sentences in Scientific Reports
Hamed R. Bonab | Hamed Zamani | Erik G. Learned-Miller | James Allan

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Ad Click Prediction in Sequence with Long Short-Term Memory Networks: an Externality-aware Model
Weiwei Deng | Xiaoliang Ling | Yang Qi | Tunzi Tan | Eren Manavoglu | Qi Zhang

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Assessing the Readability of Web Search Results for Searchers with Dyslexia
Adam Fourney | Meredith Ringel Morris | Abdullah X. Ali | Laura Vonessen

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Comparing Two Binned Probability Distributions for Information Access Evaluation
Tetsuya Sakai

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Robust Asymmetric Recommendation via Min-Max Optimization
Peng Yang | Peilin Zhao | Vincent W. Zheng | Lizhong Ding | Xin Gao

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From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems
Rocío Cañamares | Pablo Castells

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Deep Learning for Epidemiological Predictions
Yuexin Wu | Yiming Yang | Hiroshi Nishiura | Masaya Saitoh

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Query Variation Performance Prediction for Systematic Reviews
Harrisen Scells | Leif Azzopardi | Guido Zuccon | Bevan Koopman

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Attention-based Hierarchical Neural Query Suggestion
Wanyu Chen | Fei Cai | Honghui Chen | Maarten de Rijke

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Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu | Sidi Lu | Lei Zheng | Jiaxian Guo | Weinan Zhang | Jun Wang | Yong Yu

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CA-LSTM: Search Task Identification with Context Attention based LSTM
Cong Du | Peng Shu | Yong Li

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On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research
Jimmy | Guido Zuccon | Gianluca Demartini

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Deep Semantic Text Hashing with Weak Supervision
Suthee Chaidaroon | Travis Ebesu | Yi Fang

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Who is the Mr. Right for Your Brand?: - Discovering Brand Key Assets via Multi-modal Asset-aware Projection
Yang Liu | Tobey H. Ko | Zhonglei Gu

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Sogou-QCL: A New Dataset with Click Relevance Label
Yukun Zheng | Zhen Fan | Yiqun Liu | Cheng Luo | Min Zhang | Shaoping Ma

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Towards Designing Better Session Search Evaluation Metrics
Mengyang Liu | Yiqun Liu | Jiaxin Mao | Cheng Luo | Shaoping Ma

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Predicting Contradiction Intensity: Low, Strong or Very Strong?
Ismail Badache | Sébastien Fournier | Adrian-Gabriel Chifu

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A Large-Scale Study of Mobile Search Examination Behavior
Xiaochuan Wang | Ning Su | Zexue He | Yiqun Liu | Shaoping Ma

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Ranking Without Learning: Towards Historical Relevance-based Ranking of Social Images
Min Min Chew | Sourav S. Bhowmick | Adam Jatowt

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Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma | Liqin Zhao | Guan Huang | Zhi Wang | Zelin Hu | Xiaoqiang Zhu | Kun Gai

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How Much is Too Much?: Whole Session vs. First Query Behaviors in Task Type Prediction
Matthew Mitsui | Jiqun Liu | Chirag Shah

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Effectiveness Evaluation with a Subset of Topics: A Practical Approach
Kevin Roitero | Michael Soprano | Stefano Mizzaro

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Locality-adapted Kernel Densities for Tweet Localization
Ozer Ozdikis | Heri Ramampiaro | Kjetil Nørvåg

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Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks
Wei Emma Zhang | Quan Z. Sheng | Zhejun Tang | Wenjie Ruan

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Procrastination is the Thief of Time: Evaluating the Effectiveness of Proactive Search Systems
Procheta Sen | Debasis Ganguly | Gareth J. F. Jones

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Convolution-based Memory Network for Aspect-based Sentiment Analysis
Chuang Fan | Qinghong Gao | Jiachen Du | Lin Gui | Ruifeng Xu | Kam-Fai Wong

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WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval
Daniel Cohen | Liu Yang | W. Bruce Croft

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Beyond Pooling
Gordon V. Cormack | Maura R. Grossman

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Testing the Cluster Hypothesis with Focused and Graded Relevance Judgments
Eilon Sheetrit | Anna Shtok | Oren Kurland | Igal Shprincis

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Query Performance Prediction Focused on Summarized Letor Features
Adrian-Gabriel Chifu | Léa Laporte | Josiane Mothe | Md Zia Ullah

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A Study of Per-Topic Variance on System Comparison
Meng Yang | Peng Zhang | Dawei Song

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Online Job Search: Study of Users' Search Behavior using Search Engine Query Logs
Behrooz Mansouri | Mohammad Sadegh Zahedi | Ricardo Campos | Mojgan Farhoodi

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Identifying and Modeling Information Resumption Behaviors in Cross-Device Search
Dan Wu | Jing Dong | Yuan Tang

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Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Corby Rosset | Damien Jose | Gargi Ghosh | Bhaskar Mitra | Saurabh Tiwary

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SAAN: A Sentiment-Aware Attention Network for Sentiment Analysis
Zeyang Lei | Yujiu Yang | Min Yang

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An Attribute-aware Neural Attentive Model for Next Basket Recommendation
Ting Bai | Jian-Yun Nie | Wayne Xin Zhao | Yutao Zhu | Pan Du | Ji-Rong Wen

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Characterizing Question Facets for Complex Answer Retrieval
Sean MacAvaney | Andrew Yates | Arman Cohan | Luca Soldaini | Kai Hui | Nazli Goharian | Ophir Frieder

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A Test Collection for Coreferent Mention Retrieval
Rashmi Sankepally | Tongfei Chen | Benjamin Van Durme | Douglas W. Oard

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What Do Viewers Say to Their TVs?: An Analysis of Voice Queries to Entertainment Systems
Jinfeng Rao | Ferhan Türe | Jimmy Lin

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Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering
Vikas Yadav | Rebecca Sharp | Mihai Surdeanu

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Explaining Controversy on Social Media via Stance Summarization
Myungha Jang | James Allan

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Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Vaibhav Kumar | Dhruv Khattar | Siddhartha Gairola | Yash Kumar Lal | Vasudeva Varma

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Multi-Target Stance Detection via a Dynamic Memory-Augmented Network
Penghui Wei | Junjie Lin | Wenji Mao

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Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin
Stefano Mizzaro | Josiane Mothe | Kevin Roitero | Md Zia Ullah

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A New Term Frequency Normalization Model for Probabilistic Information Retrieval
Fanghong Jian | Jimmy Xiangji Huang | Jiashu Zhao | Tingting He

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Transparent Tree Ensembles
Alexander Moore | Vanessa Murdock | Yaxiong Cai | Kristine Jones

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A Taxonomy of Queries for E-commerce Search
Parikshit Sondhi | Mohit Sharma | Pranam Kolari | ChengXiang Zhai

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Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback
Ali Montazeralghaem | Hamed Zamani | Azadeh Shakery

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Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only
Robert Litschko | Goran Glavas | Simone Paolo Ponzetto | Ivan Vulic

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Toward Voice Query Clarification
Johannes Kiesel | Arefeh Bahrami | Benno Stein | Avishek Anand | Matthias Hagen

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A Test Collection for Evaluating Legal Case Law Search
Daniel Locke | Guido Zuccon

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SearchX: Empowering Collaborative Search Research
Sindunuraga Rikarno Putra | Felipe Moraes | Claudia Hauff

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A/B Testing with APONE
Mónica Marrero | Claudia Hauff

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CoNEREL: Collective Information Extraction in News Articles
Minh C. Phan | Aixin Sun

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A2A: Benchmark Your Clinical Decision Support Search
Sarvnaz Karimi | Vincent Nguyen | Falk Scholer | Brian Jin | Sara Falamaki

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An Information Retrieval Experiment Framework for Domain Specific Applications
Harrisen Scells | Daniel Locke | Guido Zuccon

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Vote Goat: Conversational Movie Recommendation
Jeffrey Dalton | Victor Ajayi | Richard Main

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LogCanvas: Visualizing Search History Using Knowledge Graphs
Luyan Xu | Zeon Trevor Fernando | Xuan Zhou | Wolfgang Nejdl

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API Caveat Explorer - Surfacing Negative Usages from Practice: An API-oriented Interactive Exploratory Search System for Programmers
Jing Li | Aixin Sun | Zhenchang Xing | Lei Han

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SmartTable: A Spreadsheet Program with Intelligent Assistance
Shuo Zhang | Vugar Abdul Zada | Krisztian Balog

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Interactive Symptom Elicitation for Diagnostic Information Retrieval
Tuukka Ruotsalo | Antti Lipsanen

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Sover! Social Media Observer
Asmelash Teka Hadgu | Sallam Abualhaija | Claudia Niederée

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Combining Terrier with Apache Spark to create Agile Experimental Information Retrieval Pipelines
Craig Macdonald

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Dynamic Composition of Question Answering Pipelines with FRANKENSTEIN
Kuldeep Singh | Ioanna Lytra | Arun Sethupat Radhakrishna | Akhilesh Vyas | Maria-Esther Vidal

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A System for Efficient High-Recall Retrieval
Mustafa Abualsaud | Nimesh Ghelani | Haotian Zhang | Mark D. Smucker | Gordon V. Cormack | Maura R. Grossman

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HyPlag: A Hybrid Approach to Academic Plagiarism Detection
Norman Meuschke | Vincent Stange | Moritz Schubotz | Bela Gipp

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RecAdvisor: Criteria-based Ph.D. Supervisor Recommendation
Mir Anamul Hasan | Daniel G. Schwartz

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Minority Report by Lemur: Supporting Search Engine with Virtual Reality
Andrew Jie Zhou | Grace Hui Yang

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Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search
Puxuan Yu | Wasi Uddin Ahmad | Hongning Wang

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Machine Learning @ Amazon
Rajeev Rastogi

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Extracting Real-Time Insights from Graphs and Social Streams
Charu C. Aggarwal

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Big Data at Didi Chuxing
Jieping Ye

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The City Brain: Towards Real-Time Search for the Real-World
Xian-Sheng Hua

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Causal Inference over Longitudinal Data to Support Expectation Exploration
Emre Kiciman

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Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion
Ted Tao Yuan | Zezhong Zhang

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Product Question Answering Using Customer Generated Content - Research Challenges
David Carmel | Liane Lewin-Eytan | Yoelle Maarek

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Auto-completion for Question Answering Systems at Bloomberg
Konstantine Arkoudas | Mohamed Yahya

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Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned
Sahin Cem Geyik | Qi Guo | Bo Hu | Cagri Ozcaglar | Ketan Thakkar | Xianren Wu | Krishnaram Kenthapadi

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The Evolution of Content Analysis for Personalized Recommendations at Twitter
Ajeet Grewal | Jimmy Lin

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Large Scale Search Engine Marketing (SEM) at Airbnb
James Wong | Brendan Collins | Ganesh Venkataraman

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Clova: Services and Devices Powered by AI
Inho Kang

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Lessons from Building a Large-scale Commercial IR-based Chatbot for an Emerging Market
Manoj Kumar Chinnakotla | Puneet Agrawal

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LessonWare: Mining Student Notes to Provide Personalized Feedback
Perry Samson | Charles Bassam

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Deep Learning for Matching in Search and Recommendation
Jun Xu | Xiangnan He | Hang Li

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Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-on Tutorial
Tetsuya Sakai

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Neural Approaches to Conversational AI
Jianfeng Gao | Michel Galley | Lihong Li

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Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances
Weinan Zhang

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Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial
Zhaochun Ren | Xiangnan He | Dawei Yin | Maarten de Rijke

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Fusion in Information Retrieval: SIGIR 2018 Half-Day Tutorial
Oren Kurland | J. Shane Culpepper

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Utilizing Knowledge Graphs for Text-Centric Information Retrieval
Laura Dietz | Alexander Kotov | Edgar Meij

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SIGIR 2018 Tutorial on Health Search (HS2018): A Full-day from Consumers to Clinicians
Guido Zuccon | Bevan Koopman

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A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis
ChengXiang Zhai | Chase Geigle

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Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between
Soumen Chakrabarti

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Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018
Nicola Tonellotto | Craig Macdonald

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SIGIR 2018 Workshop on eCommerce (ECOM18)
Jon Degenhardt | Pino Di Fabbrizio | Surya Kallumadi | Mohit Kumar | Yiu-Chang Lin | Andrew Trotman | Huasha Zhao

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SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018)
Yongfeng Zhang | Yi Zhang | Min Zhang

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Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)
Muthu Kumar Chandrasekaran | Kokil Jaidka | Philipp Mayr

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DATA: SEARCH'18 - Searching Data on the Web
Paul Groth | Laura Koesten | Philipp Mayr | Maarten de Rijke | Elena Simperl

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The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR)
Laura Dietz | Chenyan Xiong | Jeff Dalton | Edgar Meij

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Computational Surprise in Information Retrieval
Xi Niu | Wlodek Zadrozny | Kazjon Grace | Weimao Ke

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First International Workshop on Professional Search (ProfS2018)
Suzan Verberne | Jiyin He | Udo Kruschwitz | Birger Larsen | Tony Russell-Rose | Arjen P. de Vries

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Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018
Jaime Arguello | Filip Radlinski | Hideo Joho | Damiano Spina | Julia Kiseleva

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SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval
Hamed Zamani | Mostafa Dehghani | Fernando Diaz | Hang Li | Nick Craswell

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SIGIR 2018 Workshop on Intelligent Transportation Informatics
Yan Liu | Zhenhui Li | Wei Ai | Lingyu Zhang

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Exploring Potential Pathways to Address Bias and Ethics in IR
Steven Zimmerman

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SmartTable: Equipping Spreadsheets with Intelligent AssistanceFunctionalities
Shuo Zhang

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Efficiency-Effectiveness Trade-Offs in Machine Learned Models for Information Retrieval
Luke Gallagher

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Case-Based Retrieval Using Document-Level Semantic Networks
Stefano Marchesin

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Utilizing Inter-Passage Similarities for Focused Retrieval
Eilon Sheetrit

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Enhanced Contextual Recommendation using Social Media Data
Anirban Chakraborty

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A Semantic Search Approach to Task-Completion Engines
Darío Garigliotti

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Addressing News-Related Standing Information Needs
Kristine M. Rogers

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Improving Systematic Review Creation With Information Retrieval
Harrisen Scells

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Design and Evaluation of Query Auto Completion Mechanisms
Unni Krishnan

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Better Textbooks with Human Language Technology
Sudeshna Das

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CHEERS: CHeap & Engineered Evaluation of Retrieval Systems
Kevin Roitero


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Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, USA, July 12, 2018

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Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, USA, July 12, 2018

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Editorial for the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) at SIGIR 2018
Philipp Mayr | Muthu Kumar Chandrasekaran | Kokil Jaidka

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Automating Biomedical Evidence Synthesis: Recent Work and Directions Forward
Byron C. Wallace

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Time-aware Collaborative Topic Regression: Towards Higher Relevance in Textual Item Recommendation
Anas Alzogbi

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Query-focused Scientific Paper Summarization with Localized Sentence Representation
Kazutoshi Shinoda | Akiko Aizawa

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Impact of the Query Set on the Evaluation of Expert Finding Systems
Robin Brochier | Adrien Guille | Benjamin Rothan | Julien Velcin

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Representing Mathematical Formulae in Content MathML using Wikidata
Philipp Scharpf | Moritz Schubotz | Bela Gipp

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Addressing Overgeneration Error: An Effective and Effcient Approach to Keyphrase Extraction from Scientific Papers
Haofeng Jia | Erik Saule

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The CL-SciSumm Shared Task 2018: Results and Key Insights
Kokil Jaidka | Michihiro Yasunaga | Muthu Kumar Chandrasekaran | Dragomir R. Radev | Min-Yen Kan

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CIST@CLSciSumm-18: Methods for Computational Linguistics Scientific Citation Linkage, Facet Classification and Summarization
Lei Li | Junqi Chi | Moye Chen | Zuying Huang | Yingqi Zhu | Xiangling Fu

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CLSciSumm Shared Task: On the Contribution of Similarity measure and Natural Language Processing Features for Citing Problem
Elnaz Davoodi | Kanika Madan | Jia Gu

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NUDT @ CLSciSumm-18
Pancheng Wang | Shasha Li | Ting Wang | Haifang Zhou | Jintao Tang

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NJUST @ CLSciSumm-18
Shutian Ma | Heng Zhang | Jin Xu | Chengzhi Zhang

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IIIT-H @ CLScisumm-18
Kritika Agrawal | Aakash Mittal

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Klick Labs at CL-SciSumm 2018
Gaurav Baruah | Maheedhar Kolla

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University of Houston @ CL-SciSumm 2018
Luis F. T. De Moraes | Avisha Das | Samaneh Karimi | Rakesh M. Verma

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LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using Regression and Convolutions for Cross-document Semantic Linking and Summarization of Scholarly Literature
Ahmed AbuRa'ed | Àlex Bravo | Luis Chiruzzo | Horacio Saggion

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NLP-NITMZ @ CLScisumm-18
Dipanwita Debnath | Amika Achom | Partha Pakray

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CL-SciSumm Shared Task - Team Magma
Héctor Martínez Alonso | Raheleh Makki | Jia Gu


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The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018

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The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018

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A Best Match KNN-based Approach for Large-scale Product Categorization
Haohao Hu | Runjie Zhu | Yuqi Wang | Wenying Feng | Xing Tan | Jimmy Xiangji Huang

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A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews
Saratchandra Indrakanti | Gyanit Singh

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A Multimodal Recommender System for Large-scale Assortment Generation in e-Commerce
Murium Iqbal | Adair Kovac | Kamelia Aryafar

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Address Clustering for e-Commerce Applications
Vishal Kakkar | T. Ravindra Babu

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An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge
Yugang Jia | Xin Wang | Hanqing Cao | Boshu Ru | Tianzhong Yang

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An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds
Zizhe Gao | Zheng Gao | Heng Huang | Zhuoren Jiang | Yuliang Yan

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Carl: Sports Award Recommender
Martin Pichl | Bernward Pichl | Eva Zangerle

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Central Intention Identification for Natural Language Search Query in E-Commerce
Xusheng Luo | Yu Gong | Xi Chen

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Convolutional Neural Network and Bidirectional LSTM Based Taxonomy Classification Using External Dataset at SIGIR eCom Data Challenge
Shogo Suzuki | Yohei Iseki | Hiroaki Shiino | Hongwei Zhang | Aya Iwamoto | Fumihiko Takahashi

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Did We Get It Right? Predicting Query Performance in e-Commerce Search
Rohan Kumar | Mohit Kumar | Neil Shah | Christos Faloutsos

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Dynamic Query Substitution in Fast Evolving Fashion
Kritika Jain | Nilaksh Bajpai | Ankul Batra | Naveen Pajjuri Reddy

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Ecommerce Product Title Classification
Sylvain Goumy | Mohamed-Amine Mejri

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Encoder-Decoder Neural Networks for Taxonomy Classification
Makoto Hiramatsu | Kei Wakabayashi

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End-to-End Neural Ranking for eCommerce Product Search: an Application of Task Models and Textual Embeddings
Eliot Brenner | Jun Zhao | Aliasgar Kutiyanawala | Zheng Yan

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High Accuracy Recall Task
Andrew Trotman | Surya Kallumadi | Jon Degenhardt

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Large Scale Taxonomy Classification using BiLSTM with Self-Attention
Hang Gao | Tim Oates

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Large-Scale Taxonomy Problem: a Mixed Machine Learning Approach
Quentin Labernia | Yashio Kabashima | Michimasa Irie | Toshiyuki Oike | Kohei Asano | Jinhee Chun | Takeshi Tokuyama

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Leveraging Catalog to Resolve Conflicting Query Attributes in e-Commerce Sites
Suhas Ranganath

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Multi-level Deep Learning based e-Commerce Product Categorization
Wenhu Yu | Zhiqiang Sun | Haifeng Liu | Zhipeng Li | Zhitong Zheng

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Noise-aware Missing Shipment Return Comment Classification in e-Commerce
Avijit Saha | Vishal Kakkar | T. Ravindra Babu

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Overview of the SIGIR 2018 eCom Rakuten Data Challenge
Yiu-Chang Lin | Pradipto Das | Ankur Datta

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PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset
Priyanka Choudhary | Maunendra Sankar Desarkar

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Predicting Purchasing Intent: Automatic Feature Learning using Recurrent Neural Networks
Humphrey Sheil | Omer Rana | Ronan Reilly

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Product Categorization with LSTMs and Balanced Pooling Views
Michael Skinner

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Realtime Query Completion via Deep Language Models
Po-Wei Wang | Huan Zhang | Vijai Mohan | Inderjit S. Dhillon | J. Zico Kolter

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Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design
Hua-Lin He | Chun-Xiang Pan | Qing Da | Anxiang Zeng

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Team Waterloo at the SIGIR e-Commerce Data Challenge
Angshuman Ghosh | Vineet John | Rahul Iyer

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TopSig at the SIGIR'eCom 2018 Rakuten Data Challenge
Timothy Chappell | Shlomo Geva | Lawrence Buckingham

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Towards Optimization of e-Commerce Search and Discovery
Anjan Goswami | Chengxiang Zhai | Prasant Mohapatra

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Towards Practical Visual Search Engine within Elasticsearch
Cun Mu | Jun Zhao | Guang Yang | Jing Zhang | Zheng Yan

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Towards a Simplified Ontology for Better e-Commerce Search
Aliasgar Kutiyanawala | Prateek Verma | Zheng Yan

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Unconstrained Production Categorization with Sequence-to-Sequence Models
Maggie Yundi Li | Liling Tan | Stanley Kok | Ewa Szymanska

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Visualizing and Understanding Deep Neural Networks in CTR Prediction
Lin Guo | Hui Ye | Wenbo Su | Henhuan Liu | Kai Sun | Hang Xiang


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Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH'18) Co-located with (ACM SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018

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Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH'18) Co-located with (ACM SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018

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Automatic Shortlisting of Candidates in Recruitment
Girish Keshav Palshikar | Rajiv Srivastava | Mahek Shah | Sachin Pawar

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Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering
Tamer Mohamed Abdellatif | Luiz Fernando Capretz | Danny Ho

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Refresh Strategies in Continuous Active Learning
Nimesh Ghelani | Gordon V. Cormack | Mark D. Smucker

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Validating the Importance of Work Tasks for Professional Search
Thomas Schoegje | Toine Pieters | Egon L. van den Broek

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Challenges in the Development of Effective Systems for Professional Legal Search
Piyush Arora | Murhaf Hossari | Alfredo Maldonado | Clare Conran | Gareth J. F. Jones

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Explainable IR for Personalizing Professional Search
Suzan Verberne

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Overcoming Low-Utility Facets for Complex Answer Retrieval
Sean MacAvaney | Andrew Yates | Arman Cohan | Luca Soldaini | Kai Hui | Nazli Goharian | Ophir Frieder

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Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs
Pushpendre Rastogi | Adam Poliak | Vince Lyzinski | Benjamin Van Durme

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Summarizing Entities using Distantly Supervised Information Extractors
Travis Wolfe | Annabelle Carrell | Mark Dredze | Benjamin Van Durme

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Automated Knowledge Hierarchy Assessment
Guruprasad Nayak | Sourav Dutta | Deepak Ajwani | Patrick K. Nicholson | Alessandra Sala

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WordNetContext: Information Retrieval-friendly Access to WordNet Senses
Chumki Basu | Laura Dietz | Christiane Fellbaum

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Recognizing Quantity Names for Tabular Data
Yang Yi | Zhiyu Chen | Jeff Heflin | Brian D. Davison