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Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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Forward to the Past: Notes towards a Pre-history of Web Search
Stephen Robertson

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Mail Search: It's Getting Personal!
Yoelle Maarek

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Navigating Imprecision in Relevance Assessments on the Road to Total Recall: Roger and Me
Gordon V. Cormack | Maura R. Grossman

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Meta-evaluation of Online and Offline Web Search Evaluation Metrics
Ye Chen | Ke Zhou | Yiqun Liu | Min Zhang | Shaoping Ma

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The Probability that Your Hypothesis Is Correct, Credible Intervals, and Effect Sizes for IR Evaluation
Tetsuya Sakai

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Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper

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Learning to Rank Using Localized Geometric Mean Metrics
Yuxin Su | Irwin King | Michael R. Lyu

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End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Chenyan Xiong | Zhuyun Dai | Jamie Callan | Zhiyuan Liu | Russell Power

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Neural Ranking Models with Weak Supervision
Mostafa Dehghani | Hamed Zamani | Aliaksei Severyn | Jaap Kamps | W. Bruce Croft

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Variational Deep Semantic Hashing for Text Documents
Suthee Chaidaroon | Yi Fang

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ICE: Item Concept Embedding via Textual Information
Chuan-Ju Wang | Ting-Hsiang Wang | Hsiu-Wei Yang | Bo-Sin Chang | Ming-Feng Tsai

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Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model
Pengjie Ren | Zhumin Chen | Zhaochun Ren | Furu Wei | Jun Ma | Maarten de Rijke

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Stacking Bagged and Boosted Forests for Effective Automated Classification
Raphael R. Campos | Sérgio D. Canuto | Thiago Salles | Clebson C. A. de Sá | Marcos André Gonçalves

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Deep Learning for Extreme Multi-label Text Classification
Jingzhou Liu | Wei-Cheng Chang | Yuexin Wu | Yiming Yang

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Engaged or Frustrated?: Disambiguating Emotional State in Search
Ashlee Edwards | Diane Kelly

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A Study of Snippet Length and Informativeness: Behaviour, Performance and User Experience
David Maxwell | Leif Azzopardi | Yashar Moshfeghi

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Improving Exploratory Search Experience through Hierarchical Knowledge Graphs
Bahareh Sarrafzadeh | Edward Lank

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Searching on the Go: The Effects of Fragmented Attention on Mobile Web Search Tasks
Morgan Harvey | Matthew Pointon

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User Interaction Sequences for Search Satisfaction Prediction
Rishabh Mehrotra | Imed Zitouni | Ahmed Hassan Awadallah | Ahmed El Kholy | Madian Khabsa

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Multi-site User Behavior Modeling and Its Application in Video Recommendation
Chunfeng Yang | Huan Yan | Donghan Yu | Yong Li | Dah Ming Chiu

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Item Silk Road: Recommending Items from Information Domains to Social Users
Xiang Wang | Xiangnan He | Liqiang Nie | Tat-Seng Chua

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Cross-Domain Recommendation via Clustering on Multi-Layer Graphs
Aleksandr Farseev | Ivan Samborskii | Andrey Filchenkov | Tat-Seng Chua

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Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics
Xiang Chen | Bowei Chen | Mohan S. Kankanhalli

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A Probabilistic Reformulation of Memory-Based Collaborative Filtering: Implications on Popularity Biases
Rocío Cañamares | Pablo Castells

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Deep Semantic Hashing with Generative Adversarial Networks
Zhaofan Qiu | Yingwei Pan | Ting Yao | Tao Mei

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Characterizing and Predicting Enterprise Email Reply Behavior
Liu Yang | Susan T. Dumais | Paul N. Bennett | Ahmed Hassan Awadallah

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ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling
Chao Zhang | Keyang Zhang | Quan Yuan | Fangbo Tao | Luming Zhang | Tim Hanratty | Jiawei Han

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EntiTables: Smart Assistance for Entity-Focused Tables
Shuo Zhang | Krisztian Balog

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Understanding and Modeling Success in Email Search
Jin Young Kim | Nick Craswell | Susan T. Dumais | Filip Radlinski | Fang Liu

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Investigating Examination Behavior of Image Search Users
Xiaohui Xie | Yiqun Liu | Xiaochuan Wang | Meng Wang | Zhijing Wu | Yingying Wu | Min Zhang | Shaoping Ma

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Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach
Rishabh Mehrotra | Emine Yilmaz

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Using Information Scent to Understand Mobile and Desktop Web Search Behavior
Kevin Ong | Kalervo Järvelin | Mark Sanderson | Falk Scholer

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Deep Character-Level Click-Through Rate Prediction for Sponsored Search
Bora Edizel | Amin Mantrach | Xiao Bai

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Personalized Key Frame Recommendation
Xu Chen | Yongfeng Zhang | Qingyao Ai | Hongteng Xu | Junchi Yan | Zheng Qin

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Personalized Itinerary Recommendation with Queuing Time Awareness
Kwan Hui Lim | Jeffrey Chan | Shanika Karunasekera | Christopher Leckie

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Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
Jingyuan Chen | Hanwang Zhang | Xiangnan He | Liqiang Nie | Wei Liu | Tat-Seng Chua

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Neural Rating Regression with Abstractive Tips Generation for Recommendation
Piji Li | Zihao Wang | Zhaochun Ren | Lidong Bing | Wai Lam

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Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He | Tat-Seng Chua

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Accounting for the Correspondence in Commented Data
Renqin Cai | Chi Wang | Hongning Wang

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Jointly Learning Word Embeddings and Latent Topics
Bei Shi | Wai Lam | Shoaib Jameel | Steven Schockaert | Kwun Ping Lai

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On the Power Laws of Language: Word Frequency Distributions
Flavio Chierichetti | Ravi Kumar | Bo Pang

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Retrieval Consistency in the Presence of Query Variations
Peter Bailey | Alistair Moffat | Falk Scholer | Paul Thomas

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Comparing In Situ and Multidimensional Relevance Judgments
Jiepu Jiang | Daqing He | James Allan

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Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems
Adam Roegiest | Luchen Tan | Jimmy Lin

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Evaluating Web Search with a Bejeweled Player Model
Fan Zhang | Yiqun Liu | Xin Li | Min Zhang | Yinghui Xu | Shaoping Ma

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Evaluating Mobile Search with Height-Biased Gain
Cheng Luo | Yiqun Liu | Tetsuya Sakai | Fan Zhang | Min Zhang | Shaoping Ma

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Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval
Ruey-Cheng Chen | Luke Gallagher | Roi Blanco | J. Shane Culpepper

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Computational Social Indicators: A Case Study of Chinese University Ranking
Fuli Feng | Liqiang Nie | Xiang Wang | Richang Hong | Tat-Seng Chua

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Information Retrieval Meets Game Theory: The Ranking Competition Between Documents? Authors
Nimrod Raifer | Fiana Raiber | Moshe Tennenholtz | Oren Kurland

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On Application of Learning to Rank for E-Commerce Search
Shubhra Kanti Karmaker Santu | Parikshit Sondhi | ChengXiang Zhai

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Intent-Aware Semantic Query Annotation
Rafael Glater | Rodrygo L. T. Santos | Nivio Ziviani

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Efficient & Effective Selective Query Rewriting with Efficiency Predictions
Craig MacDonald | Nicola Tonellotto | Iadh Ounis

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Relevance-based Word Embedding
Hamed Zamani | W. Bruce Croft

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IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang | Lantao Yu | Weinan Zhang | Yu Gong | Yinghui Xu | Benyou Wang | Peng Zhang | Dell Zhang

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Personalized PageRank in Uncertain Graphs with Mutually Exclusive Edges
Jung Hyun Kim | Mao-Lin Li | K. Selçuk Candan | Maria Luisa Sapino

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Adapting Markov Decision Process for Search Result Diversification
Long Xia | Jun Xu | Yanyan Lan | Jiafeng Guo | Wei Zeng | Xueqi Cheng

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Learning to Diversify Search Results via Subtopic Attention
Zhengbao Jiang | Ji-Rong Wen | Zhicheng Dou | Wayne Xin Zhao | Jian-Yun Nie | Ming Yue

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Retrieval Algorithms Optimized for Human Learning
Rohail Syed | Kevyn Collins-Thompson

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Content Recommendation for Viral Social Influence
Sergei Ivanov | Konstantinos Theocharidis | Manolis Terrovitis | Panagiotis Karras

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Exploiting Food Choice Biases for Healthier Recipe Recommendation
David Elsweiler | Christoph Trattner | Morgan Harvey

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Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
Da Cao | Liqiang Nie | Xiangnan He | Xiaochi Wei | Shunzhi Zhu | Tat-Seng Chua

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Classification by Retrieval: Binarizing Data and Classifiers
Fumin Shen | Yadong Mu | Yang Yang | Wei Liu | Li Liu | Jingkuan Song | Heng Tao Shen

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BitFunnel: Revisiting Signatures for Search
Bob Goodwin | Michael Hopcroft | Dan Luu | Alex Clemmer | Mihaela Curmei | Sameh Elnikety | Yuxiong He

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Efficient Data Structures for Massive N-Gram Datasets
Giulio Ermanno Pibiri | Rossano Venturini

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Faster BlockMax WAND with Variable-sized Blocks
Antonio Mallia | Giuseppe Ottaviano | Elia Porciani | Nicola Tonellotto | Rossano Venturini

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LoSHa: A General Framework for Scalable Locality Sensitive Hashing
Jinfeng Li | James Cheng | Fan Yang | Yuzhen Huang | Yunjian Zhao | Xiao Yan | Ruihao Zhao

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Learning a Hierarchical Embedding Model for Personalized Product Search
Qingyao Ai | Yongfeng Zhang | Keping Bi | Xu Chen | W. Bruce Croft

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Exploring User-Specific Information in Music Retrieval
Zhiyong Cheng | Jialie Shen | Liqiang Nie | Tat-Seng Chua | Mohan S. Kankanhalli

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The Utility and Privacy Effects of a Click
Rachid Guerraoui | Anne-Marie Kermarrec | Mahsa Taziki

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Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling
Joanna Asia Biega | Rishiraj Saha Roy | Gerhard Weikum

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Joint Learning of Response Ranking and Next Utterance Suggestion in Human-Computer Conversation System
Rui Yan | Dongyan Zhao | Weinan E

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Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
Yi Tay | Minh C. Phan | Anh Tuan Luu | Siu Cheung Hui

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Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning
Vineet Kumar | Sachindra Joshi

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Modelling Information Needs in Collaborative Search Conversations
Sosuke Shiga | Hideo Joho | Roi Blanco | Johanne R. Trippas | Mark Sanderson

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Predicting Which Topics You Will Join in the Future on Social Media
Haoran Huang | Qi Zhang | Jindou Wu | Xuanjing Huang

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What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints
Cheng Cao | Hancheng Ge | Haokai Lu | Xia Hu | James Caverlee

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Hierarchical Community-Level Information Diffusion Modeling in Social Networks
Yuan Zhang | Tianshu Lyu | Yan Zhang

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Word-Entity Duet Representations for Document Ranking
Chenyan Xiong | Jamie Callan | Tie-Yan Liu

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Dynamic Factual Summaries for Entity Cards
Faegheh Hasibi | Krisztian Balog | Svein Erik Bratsberg

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MEmbER: Max-Margin Based Embeddings for Entity Retrieval
Shoaib Jameel | Zied Bouraoui | Steven Schockaert

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On the Reusability of "Living Labs" Test Collections: : A Case Study of Real-Time Summarization
Luchen Tan | Gaurav Baruah | Jimmy Lin

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Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering
Haotian Zhang | Jinfeng Rao | Jimmy Lin | Mark D. Smucker

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Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization
Xiao Shen | Fu-Lai Chung | Sitong Mao

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Combining Top-N Recommenders with Metasearch Algorithms
Daniel Valcarce | Javier Parapar | Álvaro Barreiro

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Counter Deanonymization Query: H-index Based k-Anonymization Privacy Protection for Social Networks
Jianliang Gao | Bo Song | Zheng Chen | Weimao Ke | Wanying Ding | Xiaohua Hu

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SPOT: Selecting occuPations frOm Trajectories
Peipei Li | Junjie Yao | Liping Wang | Xuemin Lin

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Personalized Query Suggestion Diversification
Wanyu Chen | Fei Cai | Honghui Chen | Maarten de Rijke

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Weighted Domain Translation for Online News Comments Emotion Tagging
Ying Zhang | Li Yu | Xue Zhao | Xiaojie Yuan | Lei Xu

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From Footprint to Friendship: Modeling User Followership in Mobile Social Networks from Check-in Data
Cheng Wang | Jieren Zhou | Bo Yang

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Video Question Answering via Attribute-Augmented Attention Network Learning
Yunan Ye | Zhou Zhao | Yimeng Li | Long Chen | Jun Xiao | Yueting Zhuang

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Learning Max-Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggestion
Zhou Zhao | Qifan Yang | Hanqing Lu | Min Yang | Jun Xiao | Fei Wu | Yueting Zhuang

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Learning To Rank Resources
Zhuyun Dai | Yubin Kim | Jamie Callan

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DeepStyle: Learning User Preferences for Visual Recommendation
Qiang Liu | Shu Wu | Liang Wang

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Target Type Identification for Entity-Bearing Queries
Darío Garigliotti | Faegheh Hasibi | Krisztian Balog

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Query Expansion for Email Search
Saar Kuzi | David Carmel | Alex Libov | Ariel Raviv

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Generating Clinical Queries from Patient Narratives: A Comparison between Machines and Humans
Bevan Koopman | Liam Cripwell | Guido Zuccon

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Centered kNN Graph for Semi-Supervised Learning
Ikumi Suzuki | Kazuo Hara

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Event Recommendation based on Graph Random Walking and History Preference Reranking
Shenghao Liu | Bang Wang | Minghua Xu

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An Extended Relevance Model for Session Search
Nir Levine | Haggai Roitman | Doron Cohen

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An Enhanced Approach to Query Performance Prediction Using Reference Lists
Haggai Roitman

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Autonomous Crowdsourcing through Human-Machine Collaborative Learning
Azad Abad | Moin Nabi | Alessandro Moschitti

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Game State Retrieval with Keyword Queries
Atsushi Ushiku | Shinsuke Mori | Hirotaka Kameko | Yoshimasa Tsuruoka

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Improving Search Engines via Large-Scale Physiological Sensing
Ryen W. White | Ryan Ma

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A Poisson Regression Method for Top-N Recommendation
Jiajin Huang | Jian Wang | Ning Zhong

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A Hierarchical Multimodal Attention-based Neural Network for Image Captioning
Yong Cheng | Fei Huang | Lian Zhou | Cheng Jin | Yuejie Zhang | Tao Zhang

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Unifying Multi-Source Social Media Data for Personalized Travel Route Planning
Gang Hu | Jie Shao | Fumin Shen | Zi Huang | Heng Tao Shen

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LiveMaps: Converting Map Images into Interactive Maps
Michael R. Evans | Dragomir Yankov | Pavel Berkhin | Pavel Yudin | Florin Teodorescu | Wei Wu

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Sub-corpora Impact on System Effectiveness
Nicola Ferro | Mark Sanderson

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Automatic and Semi-Automatic Document Selection for Technology-Assisted Review
Maura R. Grossman | Gordon V. Cormack | Adam Roegiest

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Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
Huasha Zhao | Luo Si | Xiaogang Li | Qiong Zhang

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Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream
Haihui Tan | Ziyu Lu | Wenjie Li

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Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval
Jianlong Wu | Zhouchen Lin | Hongbin Zha

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Label Aggregation for Crowdsourcing with Bi-Layer Clustering
Jing Zhang | Victor S. Sheng | Tao Li

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Effective Music Feature NCP: Enhancing Cover Song Recognition with Music Transcription
Yao Cheng | Xiaoou Chen | Deshun Yang | Xiaoshuo Xu

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Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval
Fei Huang | Yong Cheng | Cheng Jin | Yuejie Zhang | Tao Zhang

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Cross-Device User Linking: URL, Session, Visiting Time, and Device-log Embedding
Minh C. Phan | Aixin Sun | Yi Tay

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Mailbox-Based vs. Log-Based Query Completion for Mail Search
Michal Horovitz | Liane Lewin-Eytan | Alex Libov | Yoelle Maarek | Ariel Raviv

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The Impact of Linkage Methods in Hierarchical Clustering for Active Learning to Rank
Ziming Li | Maarten de Rijke

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Reinforcement Learning to Rank with Markov Decision Process
Zheng Wei | Jun Xu | Yanyan Lan | Jiafeng Guo | Xueqi Cheng

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A Comparative Live Evaluation of Multileaving Methods on a Commercial cQA Search
Tomohiro Manabe | Akiomi Nishida | Makoto P. Kato | Takehiro Yamamoto | Sumio Fujita

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Support for Interactive Identification of Mentioned Entities in Conversational Speech
Ning Gao | Douglas W. Oard | Mark Dredze

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AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
Shuai Zhang | Lina Yao | Xiwei Xu

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Unsupervised Query-Focused Multi-Document Summarization using the Cross Entropy Method
Guy Feigenblat | Haggai Roitman | Odellia Boni | David Konopnicki

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Translation of Natural Language Query Into Keyword Query Using a RNN Encoder-Decoder
Hyun-Je Song | A.-Yeong Kim | Seong-Bae Park

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Predictive Network Representation Learning for Link Prediction
Zhitao Wang | Chengyao Chen | Wenjie Li

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Sentence-level Sentiment Classification with Weak Supervision
Fangzhao Wu | Jia Zhang | Zhigang Yuan | Sixing Wu | Yongfeng Huang | Jun Yan

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Predicting Session Length in Media Streaming
Theodore Vasiloudis | Hossein Vahabi | Ross Kravitz | Valery Rashkov

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Exploring the Query Halo Effect in Site Search: Leading People to Longer Queries
Djoerd Hiemstra | Claudia Hauff | Leif Azzopardi

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Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection
Yifan Chen | Xiang Zhao | Maarten de Rijke

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Applying Information Extraction for Patent Structure Analysis
Masayuki Okamoto | Zifei Shan | Ryohei Orihara

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Enhancing Recurrent Neural Networks with Positional Attention for Question Answering
Qin Chen | Qinmin Hu | Jimmy Xiangji Huang | Liang He | Weijie An

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Event Early Embedding: Predicting Event Volume Dynamics at Early Stage
Zhiwei Liu | Yang Yang | Zi Huang | Fumin Shen | Dongxiang Zhang | Heng Tao Shen

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POI Popularity Prediction via Hierarchical Fusion of Multiple Social Clues
Yaqian Duan | Xinze Wang | Yang Yang | Zi Huang | Ning Xie | Heng Tao Shen

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Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Georgios Balikas | Simon Moura | Massih-Reza Amini

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Evolution of Information Needs based on Life Event Experiences with Topic Transition
Naoto Takeda | Yohei Seki | Mimpei Morishita | Yoichi Inagaki

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Distribution-oriented Aesthetics Assessment for Image Search
Chaoran Cui | Huidi Fang | Xiang Deng | Xiushan Nie | Hongshuai Dai | Yilong Yin

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On the Benefit of Incorporating External Features in a Neural Architecture for Answer Sentence Selection
Ruey-Cheng Chen | Evi Yulianti | Mark Sanderson | W. Bruce Croft

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Personalized Response Generation via Domain adaptation
Min Yang | Zhou Zhao | Wei Zhao | Xiaojun Chen | Jia Zhu | Lianqiang Zhou | Zigang Cao

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An Accurate, Efficient, and Scalable Approach to Channel Matching in Smart TVs
Jiwon Hong | Sang-Wook Kim | Mina Rho | YoonHee Choi | Yoonsik Tak

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Top-K Influential Nodes in Social Networks: A Game Perspective
Yu Zhang | Yan Zhang

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Online Learning to Rank for Cross-Language Information Retrieval
Razieh Rahimi | Azadeh Shakery

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Mining Business Opportunities from Location-based Social Networks
Shenglin Zhao | Irwin King | Michael R. Lyu | Jia Zeng | Mingxuan Yuan

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On Including the User Dynamic in Learning to Rank
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego

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Document Expansion Using External Collections
Garrick Sherman | Miles Efron

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Detecting Positive Medical History Mentions
Bing Bai | Pierre-François Laquerre | Richard G. Jackson | Robert Stewart

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Emotional Social Signals for Search Ranking
Ismail Badache | Mohand Boughanem

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Skill Translation Models in Expert Finding
Arash Dargahi Nobari | Sajad Sotudeh Gharebagh | Mahmood Neshati

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A Metric for Sentence Ordering Assessment Based on Topic-Comment Structure
Liana Ermakova | Josiane Mothe | Anton Firsov

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Gaussian Embeddings for Collaborative Filtering
Ludovic Dos Santos | Benjamin Piwowarski | Patrick Gallinari

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Detecting Controversies in Online News Media
Kaspar Beelen | Evangelos Kanoulas | Bob van de Velde

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Generating and Personalizing Bundle Recommendations on Steam
Apurva Pathak | Kshitiz Gupta | Julian J. McAuley

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X-DART: Blending Dropout and Pruning for Efficient Learning to Rank
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Salvatore Trani

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Non-negative Matrix Factorization Meets Word Embedding
Melissa Ailem | Aghiles Salah | Mohamed Nadif

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Term Proximity Constraints for Pseudo-Relevance Feedback
Ali Montazeralghaem | Hamed Zamani | Azadeh Shakery

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Gauging the Quality of Relevance Assessments using Inter-Rater Agreement
Tadele Tedla Damessie | Thao P. Nghiem | Falk Scholer | J. Shane Culpepper

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Neural Citation Network for Context-Aware Citation Recommendation
Travis Ebesu | Yi Fang

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A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences
Graham McDonald | Nicolás García-Pedrajas | Craig Macdonald | Iadh Ounis

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Entity Set Expansion via Knowledge Graphs
Xiangling Zhang | Yueguo Chen | Jun Chen | Xiaoyong Du | Ke Wang | Ji-Rong Wen

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Word Embedding Causes Topic Shifting; Exploit Global Context!
Navid Rekabsaz | Mihai Lupu | Allan Hanbury | Hamed Zamani

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Building Your Own Reading List Anytime via Embedding Relevance, Quality, Timeliness and Diversity
Bo-Wen Zhang | Xu-Cheng Yin | Fang Zhou | Jian-Lin Jin

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ENCORE: External Neural Constraints Regularized Distant Supervision for Relation Extraction
Siliang Tang | Jinjian Zhang | Ning Zhang | Fei Wu | Jun Xiao | Yueting Zhuang

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Information Retrieval Model using Generalized Pareto Distribution and Its Application to Instance Search
Masaya Murata | Kaoru Hiramatsu | Shin'ichi Satoh

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Predicting Information Seeking Intentions from Search Behaviors
Matthew Mitsui | Jiqun Liu | Nicholas J. Belkin | Chirag Shah

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But Is It Statistically Significant?: Statistical Significance in IR Research, 1995-2014
Ben Carterette

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Generalized Mixed Effect Models for Personalizing Job Search
Ankan Saha | Dhruv Arya

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Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge
Arman Cohan | Nazli Goharian

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Crowdsourced App Review Manipulation
Shanshan Li | James Caverlee | Wei Niu | Parisa Kaghazgaran

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CitySearcher: A City Search Engine For Interests
Mohamed Abdel Maksoud | Gaurav Pandey | Shuaiqiang Wang

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Cross-Language Question Re-Ranking
Giovanni Da San Martino | Salvatore Romeo | Alberto Barrón-Cedeño | Shafiq R. Joty | Lluís Màrquez | Alessandro Moschitti | Preslav Nakov

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Open Relation Extraction for Support Passage Retrieval: Merit and Open Issues
Amina Kadry | Laura Dietz

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Generating Query Suggestions to Support Task-Based Search
Darío Garigliotti | Krisztian Balog

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De-duping URLs with Sequence-to-Sequence Neural Networks
Keyang Xu | Zhengzhong Liu | Jamie Callan

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Graph Summarization for Entity Relatedness Visualization
Yukai Miao | Jianbin Qin | Wei Wang

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Layout and Semantics: Combining Representations for Mathematical Formula Search
Kenny Davila | Richard Zanibbi

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Understanding and Predicting Usefulness Judgment in Web Search
Jiaxin Mao | Yiqun Liu | Huan-Bo Luan | Min Zhang | Shaoping Ma | Hengliang Luo | Yuntao Zhang

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Open Source Repository Recommendation in Social Coding
Jyun-Yu Jiang | Pu-Jen Cheng | Wei Wang

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Venue Appropriateness Prediction for Personalized Context-Aware Venue Suggestion
Mohammad Aliannejadi | Fabio Crestani

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Building Bridges across Social Platforms: Answering Twitter Questions with Yahoo! Answers
Mossaab Bagdouri | Douglas W. Oard

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Large-Scale Goodness Polarity Lexicons for Community Question Answering
Todor Mihaylov | Daniel Balchev | Yasen Kiprov | Ivan Koychev | Preslav Nakov

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A Neural Language Model for Query Auto-Completion
Dae Hoon Park | Rikio Chiba

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Social Media Advertisement Outreach: Learning the Role of Aesthetics
Avikalp Srivastava | Madhav Datt | Jaikrishna Chaparala | Shubham Mangla | Priyadarshi Patnaik

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Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation
Niels Dalum Hansen | Kåre Mølbak | Ingemar J. Cox | Christina Lioma

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Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic
Mozhdeh Ariannezhad | Ali Montazeralghaem | Hamed Zamani | Azadeh Shakery

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Timestamping Entities using Contextual Information
Adam Jatowt | Daisuke Kawai | Katsumi Tanaka

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On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments
Alberto Barrón-Cedeño | Giovanni Da San Martino | Simone Filice | Alessandro Moschitti

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Embedding-based Query Expansion for Weighted Sequential Dependence Retrieval Model
Saeid Balaneshinkordan | Alexander Kotov

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Experiments with Convolutional Neural Network Models for Answer Selection
Jinfeng Rao | Hua He | Jimmy Lin

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Luandri: A Clean Lua Interface to the Indri Search Engine
Bhaskar Mitra | Fernando Diaz | Nick Craswell

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Finally, a Downloadable Test Collection of Tweets
Royal Sequiera | Jimmy Lin

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Cookpad Image Dataset: An Image Collection as Infrastructure for Food Research
Jun Harashima | Yuichiro Someya | Yohei Kikuta

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SogouT-16: A New Web Corpus to Embrace IR Research
Cheng Luo | Yukun Zheng | Yiqun Liu | Xiaochuan Wang | Jingfang Xu | Min Zhang | Shaoping Ma

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A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews
Harrisen Scells | Guido Zuccon | Bevan Koopman | Anthony Deacon | Leif Azzopardi | Shlomo Geva

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One Million Posts: A Data Set of German Online Discussions
Dietmar Schabus | Marcin Skowron | Martin Trapp

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KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation
Sumit Sidana | Charlotte Laclau | Massih-Reza Amini | Gilles Vandelle | André Bois-Crettez

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A Collection for Detecting Triggers of Sentiment Spikes
Anastasia Giachanou | Ida Mele | Fabio Crestani

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Anserini: Enabling the Use of Lucene for Information Retrieval Research
Peilin Yang | Hui Fang | Jimmy Lin

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A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms
Benjamin Kille | Andreas Lommatzsch | Frank Hopfgartner | Martha A. Larson | Arjen P. de Vries

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A Large-Scale Query Spelling Correction Corpus
Matthias Hagen | Martin Potthast | Marcel Gohsen | Anja Rathgeber | Benno Stein

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DBpedia-Entity v2: A Test Collection for Entity Search
Faegheh Hasibi | Fedor Nikolaev | Chenyan Xiong | Krisztian Balog | Svein Erik Bratsberg | Alexander Kotov | Jamie Callan

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A Cross-Platform Collection for Contextual Suggestion
Mohammad Aliannejadi | Ida Mele | Fabio Crestani

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RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval
Pedro Saleiro | Natasa Milic-Frayling | Eduarda Mendes Rodrigues | Carlos Soares

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BioNex: A System For Biomedical News Event Exploration
Patrick Ernst | Arunav Mishra | Avishek Anand | Vinay Setty

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RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions
Claudio Lucchese | Cristina Ioana Muntean | Franco Maria Nardini | Raffaele Perego | Salvatore Trani

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ReviewMiner: An Aspect-based Review Analytics System
Derek Wu | Hongning Wang

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Nordlys: A Toolkit for Entity-Oriented and Semantic Search
Faegheh Hasibi | Krisztian Balog | Darío Garigliotti | Shuo Zhang

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Teaching the Information Retrieval Process Using a Web-Based Environment and Game Mechanics
Thomas Wilhelm-Stein | Stefan Kahl | Maximilian Eibl

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Smart Media Generation System for Broadcasting Contents
Jeong Woo Son | Wonjoo Park | Sang-Yun Lee | Jinwoo Kim | Sun-Joong Kim

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EvALL: Open Access Evaluation for Information Access Systems
Enrique Amigó | Jorge Carrillo de Albornoz | Mario Almagro-Cádiz | Julio Gonzalo | Javier Rodríguez-Vidal | Felisa Verdejo

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TOTEM: Personal Tweets Summarization on Mobile Devices
Jin Yao Chin | Sourav S. Bhowmick | Adam Jatowt

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LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency
Sosuke Kato | Riku Togashi | Hideyuki Maeda | Sumio Fujita | Tetsuya Sakai

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Proactive Information Retrieval via Screen Surveillance
Vuong Thanh Tung | Giulio Jacucci | Tuukka Ruotsalo

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ASTERIX: Ambiguity and Missing Element-Aware XML Keyword Search Engine
Ba Quan Truong | Sourav S. Bhowmick | Curtis E. Dyreson | Hong Jing Khok

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Visual Pool: A Tool to Visualize and Interact with the Pooling Method
Aldo Lipani | Mihai Lupu | Allan Hanbury

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Event Detection on Curated Tweet Streams
Nimesh Ghelani | Salman Mohammed | Shine Wang | Jimmy Lin

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A Task-oriented Search Engine for Evidence-based Medicine
Bevan Koopman | Guido Zuccon | Jack Russell

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Social Media Image Recognition for Food Trend Analysis
Giuseppe Amato | Paolo Bolettieri | Vinicius Monteiro de Lira | Cristina Ioana Muntean | Raffaele Perego | Chiara Renso

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Computing Web-scale Topic Models using an Asynchronous Parameter Server
Rolf Jagerman | Carsten Eickhoff | Maarten de Rijke

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Seeing Bot
Yingwei Pan | Zhaofan Qiu | Ting Yao | Houqiang Li | Tao Mei

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MAPping the probability of start-up success
David Hawking

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Search Without a Query: Powering Job Recommendations via Search Index at LinkedIn
Dhruv Arya | Ganesh Venkataraman

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Spotify: Music Access At Scale
Fernando Diaz

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Structuring the Unstructured: From Startup to Making Sense of eBay's Huge eCommerce Inventory
Ido Guy | Kira Radinsky

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Making Ads More Relevant Innovations in Digital Advertising
Sudong Chung

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Traditional IR Meets Ontology Engineering in Search for Data
Anton Firsov

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Semantic Query Understanding
Ricardo Baeza-Yates

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Twicalli: An Earthquake Detection System Based on Citizen Sensors Used for Emergency Response in Chile
Barbara Poblete

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Cross-Lingual Information Retrieve in Sogou Search
Jingfang Xu | Feifei Zhai | Zhengshan Xue

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Find Shoes Like These
Hideyuki Maeda

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Machine Learning Powered A/B Testing
Pavel Serdyukov

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Naver Search: Deep Learning Powered Search Portal for Intelligent Information Provision
Inho Kang

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Managing Tail Latencies in Large Scale IR Systems
Joel M. Mackenzie

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Health Misinformation in Search and Social Media
Amira Ghenai

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Relevance Judgments: Preferences, Scores and Ties
Ziying Yang

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Searchbots: Using Chatbots in Collaborative Information-seeking Tasks
Sandeep Avula

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Examining Information on Social Media: Topic Modelling, Trend Prediction and Community Classification
Anjie Fang

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Dynamic Personalized Ranking of Facets for Exploratory Search
Esraa Ali

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Multi-dimensional Formula Feature Modeling for Mathematical Information Retrieval
Ke Yuan

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Deep Collaborative Filtering Approaches for Context-Aware Venue Recommendation
Jarana Manotumruksa

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Utilizing Online Social Media for Disaster Relief: Practical Challenges in Retrieval
Moumita Basu

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Statistical Significance Testing in Information Retrieval: Theory and Practice
Ben Carterette

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Candidate Selection for Large Scale Personalized Search and Recommender Systems
Dhruv Arya | Ganesh Venkataraman | Aman Grover | Krishnaram Kenthapadi

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A/B Testing at Scale: Accelerating Software Innovation
Alex Deng | Pavel A. Dmitriev | Somit Gupta | Ron Kohavi | Paul Raff | Lukas Vermeer

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Probabilistic Topic Models for Text Data Retrieval and Analysis
ChengXiang Zhai

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Neural Networks for Information Retrieval
Tom Kenter | Alexey Borisov | Christophe Van Gysel | Mostafa Dehghani | Maarten de Rijke | Bhaskar Mitra

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Building Test Collections: An Interactive Guide for Students and Others Without Their Own Evaluation Conference Series
Ian Soboroff

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From Design to Analysis: Conducting Controlled Laboratory Experiments with Users
Diane Kelly | Anita Crescenzi

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SIGIR 2017 Tutorial on Health Search (HS2017): A Full-day from Consumers to Clinicians
Guido Zuccon | Bevan Koopman

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Axiomatic Thinking for Information Retrieval: And Related Tasks
Enrique Amigó | Hui Fang | Stefano Mizzaro | ChengXiang Zhai

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Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017)
Muthu Kumar Chandrasekaran | Kokil Jaidka | Philipp Mayr

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First International Workshop on Conversational Approaches to Information Retrieval (CAIR'17)
Hideo Joho | Lawrence Cavedon | Jaime Arguello | Milad Shokouhi | Filip Radlinski

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SIGIR 2017 Workshop on eCommerce (ECOM17)
Jon Degenhardt | Surya Kallumadi | Maarten de Rijke | Luo Si | Andrew Trotman | Yinghui Xu

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The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)
Laura Dietz | Chenyan Xiong | Edgar Meij

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The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017
Leif Azzopardi | Matt Crane | Hui Fang | Grant Ingersoll | Jimmy Lin | Yashar Moshfeghi | Harrisen Scells | Peilin Yang | Guido Zuccon

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SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17)
Nick Craswell | W. Bruce Croft | Maarten de Rijke | Jiafeng Guo | Bhaskar Mitra

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SIGIR 2017 Workshop on Open Knowledge Base and Question Answering (OKBQA2017)
Key-Sun Choi | Teruko Mitamura | Piek Vossen | Jin-Dong Kim | Axel-Cyrille Ngonga Ngomo


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Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017

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Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017

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Editorial for the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) at SIGIR 2017
Philipp Mayr | Muthu Kumar Chandrasekaran | Kokil Jaidka

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Do "Future Work" sections have a purpose? Citation links and entailment for global scientometric questions
Simone Teufel

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Can we do better than Co-Citations? - Bringing Citation Proximity Analysis from idea to practice in research article recommendation
Petr Knoth | Anita Khadka

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MultiScien: a Bi-Lingual Natural Language Processing System for Mining and Enrichment of Scientific Collections
Horacio Saggion | Francesco Ronzano | Pablo Accuosto | Daniel Ferrés

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Identifying Problems and Solutions in Scientific Text
Kevin Heffernan | Simone Teufel

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Identifying Collaborations among Researchers: a pattern-based approach
Luca Cagliero | Paolo Garza | Mohammad Reza Kavoosifar | Elena Baralis

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Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers
Hayato Hashimoto | Kazutoshi Shinoda | Hikaru Yokono | Akiko Aizawa

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Bibliometrics of "Information Retrieval" - A Tale of Three Databases
Judit Bar-Ilan

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Analysis of Footnote Chasing and Citation Searching in an Academic Search Engine
Ameni Kacem | Philipp Mayr

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Automated Generation of Timestamped Patent Abstracts at Scale to Outsmart Patent-Trolls
Felix Hamborg | Moustafa Elmaghraby | Corinna Breitinger | Bela Gipp

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K-means and Hierarchical Clustering Method to Improve our Understanding of Citation Contexts
Marc Bertin | Iana Atanassova

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Are Cited References Meaningful? Measuring Semantic Relatedness in Citation Analysis
Hassan Alam | Aman Kumar | Tina Werner | Manan Vyas


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Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017

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Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan, August 11, 2017

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The CL-SciSumm Shared Task 2017: Results and Key Insights
Kokil Jaidka | Muthu Kumar Chandrasekaran | Devanshu Jain | Min-Yen Kan

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NJUST @ CLSciSumm-17
Shutian Ma | Jin Xu | Jie Wang | Chengzhi Zhang

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WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization
Animesh Prasad

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University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity
Anne Lauscher | Goran Glavas | Kai Eckert

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CIST@CLSciSumm-17: Multiple Features Based Citation Linkage, Classification and Summarization
Lei Li | Yazhao Zhang | Liyuan Mao | Junqi Chi | Moye Chen | Zuying Huang

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LaSTUS/TALN @ CLSciSumm-17: Cross-document Sentence Matching and Scientific Text Summarization Systems
Ahmed AbuRa'ed | Luis Chiruzzo | Horacio Saggion | Pablo Accuosto | Àlex Bravo

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Graz University of Technology at CL-SciSumm 2017: Query Generation Strategies
Thomas Felber | Roman Kern

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University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment
Samaneh Karimi | Luis F. T. Moraes | Avisha Das | Rakesh M. Verma

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PKU @ CLSciSumm-17: Citation Contextualization
Dongxu Zhang | Sujian Li

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SciSumm 2017: Employing Word Vectors for Identifying, Classifying and Summarizing Scientific Documents
Aniket Pramanick | Salma Mandi | Monalisa Dey | Dipankar Das


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Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, eCOM@SIGIR 2017, Tokyo, Japan, August 11, 2017

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Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, eCOM@SIGIR 2017, Tokyo, Japan, August 11, 2017

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A Content-based Recommender System for E-commerce Offers and Coupons
Yandi Xia | Giuseppe Di Fabbrizio | Shikhar Vaibhav | Ankur Datta

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Address Fraud: Monkey Typed Address Classification for e-Commerce Applications
T. Ravindra Babu | Vishal Kakkar

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Discovering Similar Products in Fashion E-commerce
Amber Madvariya | Sumit Borar

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Document Reordering is Good, Especially for e-Commerce
Vishnusaran Ramaswamy | Roberto Konow | Andrew Trotman | Jon Degenhardt | Nick Whyte

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How to Balance Privacy and Money through Pricing Mechanism in Personal Data Market
Rachana Nget | Yang Cao | Masatoshi Yoshikawa

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Predicting Sales from the Language of Product Descriptions
Reid Pryzant | Youngjoo Chung | Dan Jurafsky

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Predicting Shopping Behavior with Mixture of RNNs
Arthur Toth | Louis Tan | Giuseppe Di Fabbrizio | Ankur Datta

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Query Rewrite for Null and Low Search Results in eCommerce
Zehong Tan | Canran Xu | Mengjie Jiang | Hua Yang | Xiaoyuan Wu

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Query Segmentation via RNNs Encoder-Decoder Framework
Yiu-Chang Lin | Giuseppe Di Fabbrizio | Ankur Datta

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The Architecture of eBay Search
Andrew Trotman | Jon Degenhardt | Surya Kallumadi

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Understanding User Behavior in Job and Talent Search: An Initial Investigation
Damiano Spina | Maria Maistro | Yongli Ren | Sargol Sadeghi | Wilson Wong | Timothy Baldwin | Lawrence Cavedon | Alistair Moffat | Mark Sanderson | Falk Scholer | Justin Zobel

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Unsupervised Topic Modelling in a Book Recommender System for New Users
Haifa Alharthi | Diana Inkpen | Stan Szpakowicz


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Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, August 11, 2017

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Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, August 11, 2017

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Predicting Asymmetric Transitive Relations in Knowledge Bases
Pushpendre Rastogi | Benjamin Van Durme

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Measuring Demonstrated Potential Domain Knowledge with Knowledge Graphs
Jiyin He | Marc Bron

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Entity Attribute Ranking Using Learning to Rank
Esraa Ali | Annalina Caputo | Séamus Lawless

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Training Relation Embeddings under Logical Constraints
Pushpendre Rastogi | Adam Poliak | Benjamin Van Durme

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Test Collection for Evaluating Actionable Knowledge Graphs
Roi Blanco | Hideo Joho | Adam Jatowt | Haitao Yu

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Enhancing Categorization of Computer Science Research Papers using Knowledge Bases
Shashank Gupta | Priya Radhakrishnan | Manish Gupta | Vasudeva Varma | Umang Gupta

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Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs
Hongyu Li | Chenyan Xiong | Jamie Callan

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Early Fusion Strategy for Entity-Relationship Retrieval
Pedro Saleiro | Natasa Milic-Frayling | Eduarda Mendes Rodrigues | Carlos Soares