Sunday, August 6
13:00-18:00	Registration (4F Hana)
Monday, August 7
8:30-20:00	Registration (5F Concord Ballroom Foyer)
9:00-10:30	Tutorials Statistical Significance Testing in Information Retrieval: Theory and Practice (42F Fuji) Candidate Selection for Large Scale Personalized Search and Recommender Systems (42F Takao) Neural Networks for Information Retrieval (NN4IR) (5F Concord Ballroom C) Building Test Collections: An Interactive Guide for Students and Others Without Their Own Evaluation Conference Series (42F Mitake) From Design to Analysis: Conducting Controlled Laboratory Experiments with Users (43F Comet) SIGIR 2017 Tutorial on Health Search (HS2017) – A Full-day from Consumers to Clinicians (43F Orion) Cancelled	9:00-10:25	Doctoral consortium session 1 (42F Tsukui)
10:30-10:50	Coffee break (42F Musashi/Sagami, 43F Subaru)	10:25-10:55	Coffee break
10:50-12:20	Tutorials Statistical Significance Testing in Information Retrieval: Theory and Practice (42F Fuji) Candidate Selection for Large Scale Personalized Search and Recommender Systems (42F Takao) Neural Networks for Information Retrieval (NN4IR) (5F Concord Ballroom C) Building Test Collections: An Interactive Guide for Students and Others Without Their Own Evaluation Conference Series (42F Mitake) From Design to Analysis: Conducting Controlled Laboratory Experiments with Users (43F Comet) SIGIR 2017 Tutorial on Health Search (HS2017) – A Full-day from Consumers to Clinicians (43F Orion) Cancelled	10:55-12:20	Doctoral consortium session 2 (42F Tsukui)
12:20-14:00	Lunch (provided to tutorial registrants)	12:20-13:50	Lunch break and networking
14:00-15:30	Tutorials A/B Testing at Scale: Accelerating Software Innovation (42F Fuji) Probabilistic Topic Models for Text Data Retrieval and Analysis (42F Takao) Neural Networks for Information Retrieval (NN4IR) (5F Concord Ballroom C) Building Test Collections: An Interactive Guide for Students and Others Without Their Own Evaluation Conference Series (42F Mitake) From Design to Analysis: Conducting Controlled Laboratory Experiments with Users (43F Comet) SIGIR 2017 Tutorial on Health Search (HS2017) – A Full-day from Consumers to Clinicians (43F Orion) Cancelled	13:50-15:05	Doctoral consortium session 3 (42F Tsukui)
		15:05-15:25	Coffee break
15:30-15:50	Coffee break (42F Musashi/Sagami, 43F Subaru)	15:25-17:20	Doctoral consortium session 4 (42F Tsukui)
15:50-17:20	Tutorials A/B Testing at Scale: Accelerating Software Innovation (42F Fuji) Probabilistic Topic Models for Text Data Retrieval and Analysis (42F Takao) Neural Networks for Information Retrieval (NN4IR) (5F Concord Ballroom C) Building Test Collections: An Interactive Guide for Students and Others Without Their Own Evaluation Conference Series (42F Mitake) From Design to Analysis: Conducting Controlled Laboratory Experiments with Users (43F Comet) SIGIR 2017 Tutorial on Health Search (HS2017) – A Full-day from Consumers to Clinicians (43F Orion) Cancelled
18:00-19:00	Women in IR (5F Concord Ballroom C)
19:00-21:00	Welcome reception (42F and 43F)
Tuesday, August 8
8:20-16:30	Registration (5F Eminence Hall Foyer)
10:00-16:30	Supporters’ exhibitions (5F Concord Ballroom B/Concord Foyer)
9:10-9:30	Opening (5F Eminence Hall)
9:30-10:30	Keynote 1: Stephen Robertson (5F Eminence Hall)
10:30-11:00	Coffee break (5F Concord Ballroom B/Concord Foyer)
11:00-12:40	Session 1A: Evaluation 1 (5F Eminence Hall) Session 1B: Retrieval Models and Ranking 1 (5F Concord Ballroom C) Session 1C: Document Representation and Content Analysis 1 (5F Concord Ballroom A)
12:40-14:20	Lunch break Students’ Luncheon (Students and invitation only, 4F Hana)
14:20-16:10	Poster and demo session 1 (43F Comet/Moonlight/Starlight/Subaru) [poster layout]
16:10-17:50	Session 2A: Search Interaction 1 (5F Eminence Hall) Session 2B: Filtering and Recommending 1 (5F Concord Ballroom C) Session 2C: Other Applications and Specialized Domains (5F Concord Ballroom A)
19:00-	Students’ Get-Together (Universal City)
Wednesday, August 9
8:00-17:00	Registration (5F Eminence Hall Foyer)
8:20-16:30	Supporters’ exhibitions (5F Concord Ballroom B/Concord Foyer)
8:40-9:00	Announcement (5F Eminence Hall)
9:00-10:00	Keynote 2: Yoelle Maarek (5F Eminence Hall)
10:00-10:30	Coffee break (5F Concord Ballroom B/Concord Foyer)
10:30-12:10	Session 3A: Search Interaction 2 (5F Eminence Hall) Session 3B: Filtering and Recommending 2 (5F Concord Ballroom C) Session 3C: Document Representation and Content Analysis 2 (5F Concord Ballroom A)
12:10-13:50	Lunch break Diversity & Inclusion Luncheon (4F Hana)
13:50-15:40	Poster and demo session 2 (43F Comet/Moonlight/Starlight/Subaru) [poster layout]
15:40-17:20	Session 4A: Evaluation 2 (5F Eminence Hall) Session 4B: Retrieval Models and Ranking 2 (5F Concord Ballroom C) Session 4C: Queries and Query Analysis (5F Concord Ballroom A)
17:20-18:20	Special awards session (5F Eminence Hall )
19:30-22:00	Banquet (Hotel Chinzanso Tokyo)
Thursday, August 10
8:00-15:00	Registration (5F Eminence Hall Foyer)
8:20-15:00	Supporters’ exhibitions (5F Concord Ballroom B/Concord Foyer)
8:40-9:00	Announcement (5F Eminence Hall)
9:00-10:40	Session 5A: Retrieval Models and Ranking 3 (5F Eminence Hall) Session 5B: Filtering and Recommending 3 (5F Concord Ballroom C) Session 5C: Efficiency and Scalability (5F Concord Ballroom A)
10:40-11:10	Coffee break (5F Concord Ballroom B/Concord Foyer)
11:10-12:30	Session 6A: Personalization and Privacy (5F Eminence Hall) Session 6B: Conversations and Question Answering (5F Concord Ballroom C) SIRIP 1: Start-Ups and Beyond (5F Concord Ballroom A)
12:30-14:30	Lunch break SIGIR business meeting (5F Eminence Hall)
14:30-15:50	Session 7A: Social (5F Eminence Hall) Session 7B: Entities (5F Concord Ballroom C) SIRIP 2: Start-Up Research and Academic Collaboration (5F Concord Ballroom A)
15:50-16:20	Closing (5F Eminence Hall) SIRIP coffee break (5F Concord Ballroom A)
16:20-17:40	SIRIP 3: Research at Large-scale Search Engines (5F Concord Ballroom A)
Friday, August 11
8:50-17:30	Registration (42F just outside Sagami)
9:00-10:30	Workshops ATIR’17: Axiomatic Thinking for Information Retrieval and Related Tasks (43F Starlight) CAIR’17: Conversational Approaches to Information Retrieval (43F Moon Light) ECOM’17: eCommerce (43F Comet) KG4IR’17: Knowledge Graphs and Semantics for Text Retrieval and Analysis (42F Fuji) LIARR’17: Lucene for Information Access and Retrieval Research (42F Tsukui) Neu-IR’17: Neural Information Retrieval (42F Takao) OKBQA’17: Open Knowledge Base and Question Answering (42F Sagami)
10:30-10:50	Coffee break (42F Sagami/43F Subaru)
10:50-12:20	Workshops ATIR’17: Axiomatic Thinking for Information Retrieval and Related Tasks (43F Starlight) CAIR’17: Conversational Approaches to Information Retrieval (43F Moon Light) ECOM’17: eCommerce (43F Comet) KG4IR’17: Knowledge Graphs and Semantics for Text Retrieval and Analysis (42F Fuji) LIARR’17: Lucene for Information Access and Retrieval Research (42F Tsukui) Neu-IR’17: Neural Information Retrieval (42F Takao) OKBQA’17: Open Knowledge Base and Question Answering (42F Sagami)
12:20-14:00	Lunch (provided to workshop registrants)
14:00-15:30	Workshops BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries (43F Starlight) CAIR’17: Conversational Approaches to Information Retrieval (43F Moon Light) ECOM’17: eCommerce (43F Comet) KG4IR’17: Knowledge Graphs and Semantics for Text Retrieval and Analysis (42F Fuji) LIARR’17: Lucene for Information Access and Retrieval Research (42F Tsukui) Neu-IR’17: Neural Information Retrieval (42F Takao) OKBQA’17: Open Knowledge Base and Question Answering (42F Sagami)
15:30-15:50	Coffee break (42F Sagami/43F Subaru)
15:50-17:20	Workshops BIRNDL’17: Bibliometric-enhanced IR and NLP for Digital Libraries (43F Starlight) CAIR’17: Conversational Approaches to Information Retrieval (43F Moon Light) ECOM’17: eCommerce (43F Comet) KG4IR’17: Knowledge Graphs and Semantics for Text Retrieval and Analysis (42F Fuji) LIARR’17: Lucene for Information Access and Retrieval Research (42F Tsukui) Neu-IR’17: Neural Information Retrieval (42F Takao) OKBQA’17: Open Knowledge Base and Question Answering (42F Sagami)

Full papers

Session 1A: Evaluation 1

August 8 (Tuesday) 11:00-12:40, 5F Eminence Hall
Chair: Barbara Poblete (University of Chile)

• Navigating Imprecision in Relevance Assessments on the Road to Total Recall: Roger and Me
  Gordon V. Cormack (University of Waterloo), Maura R. Grossman (University of Waterloo)
• Meta-evaluation of Online and Offline Web Search Evaluation Metrics
  Ye Chen (Tsinghua University), Ke Zhou (University of Nottingham), Yiqun Liu (Tsinghua University), Min Zhang (Tsinghua University), Shaoping Ma (Tsinghua University)
• The Probability that Your Hypothesis Is Correct, Credible Intervals, and Effect Sizes for IR Evaluation
  Tetsuya Sakai (Waseda University)
• Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?
  Xiaolu Lu (RMIT University), Alistair Moffat (University of Melbourne), J. Shane Culpepper (RMIT University)
• [TOIS] Examining Additivity and Weak Baselines
  Sadegh Kharazmi (RMIT University & NICTA), Falk Scholer (RMIT University), David Vallet (Google), Mark Sanderson (RMIT University)

Session 1B: Retrieval Models and Ranking 1

August 8 (Tuesday) 11:00-12:40, 5F Concord Ballroom C
Chair: ChengXiang Zhai (University of Illinois at Urbana-Champaign)

• Learning to Rank Using Localized Geometric Mean Metrics
  Yuxin Su (Chinese University of Hong Kong), Irwin King (Chinese University of Hong Kong), Michael Lyu (Chinese University of Hong Kong)
• End-to-End Neural Ad-hoc Ranking with Kernel Pooling
  Chenyan Xiong (Carnegie Mellon University), Zhuyun Dai (Carnegie Mellon University), Jamie Callan (Carnegie Mellon University), Zhiyuan Liu (Tsinghua University), Russell Power (Allen Institute for AI)
• [TOIS] A Document Retrieval Model Based on Digital Signal Filtering
  Alberto Costa (National University of Singapore), Emanuele Di Buccio (University of Padua), Massimo Melucci (University of Padua)
• Neural Ranking Models with Weak Supervision
  Mostafa Dehghani (University of Amsterdam), Hamed Zamani (University of Massachusetts Amherst), Aliaksei Severyn (Google Research), Jaap Kamps (University of Amsterdam), W. Bruce Croft (University of Massachusetts Amherst)
• [TOIS] Comparing Pointwise and Listwise Objective Functions for Random Forest based Learning-to-Rank
  Muhammad Ibrahim (Monash University), Mark Carman (Monash University)

Session 1C: Document Representation and Content Analysis 1

August 8 (Tuesday) 11:00-12:40, 5F Concord Ballroom A
Chair: Jian-Yun Nie (Université de Montréal)

• Variational Deep Semantic Hashing for Text Documents
  Suthee Chaidaroon (Santa Clara University), Yi Fang (Santa Clara University)
• ICE: Item Concept Embedding via Textual Information
  Chuan-Ju Wang (Academia Sinica), Ting-Hsiang Wang (Academia Sinica), Hsiu-Wei Yang (Academia Sinica), Bo-Sin Chang (National Chengchi University), Ming-Feng Tsai (National Chengchi University)
• Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model
  Pengjie Ren (Shandong University), Zhumin Chen (Shandong University), Zhaochun Ren (Data Science Lab, JD.com), Furu Wei (Microsoft Research Asia), Jun Ma (Shandong University), Maarten de Rijke (University of Amsterdam)
• Stacking Bagged and Boosted Forests for Effective Automated Classification
  Raphael Campos (Federal University of Minas Gerais), Sérgio Canuto (Federal University of Minas Gerais), Thiago Salles (Federal University of Minas Gerais), Clebson C. A. de Sá (Federal University of Minas Gerais), Marcos André Gonçalves (Federal University of Minas Gerais)
• Deep Learning for Extreme Multi-label Text Classification
  Jingzhou Liu (Carnegie Mellon University), Wei-Cheng Chang (Carnegie Mellon University), Yuexin Wu (Carnegie Mellon University), Yiming Yang (Carnegie Mellon University)

Session 2A: Search Interaction 1

August 8 (Tuesday) 16:10-17:50, 5F Eminence Hall
Chair: Emine Yilmaz (University College London)

• Engaged or Frustrated? Disambiguating Emotional State in Search
  Ashlee Edwards (University of North Carolina at Chapel Hill), Diane Kelly (University of Tennessee)
• A Study of Snippet Length and Informativeness
  David Maxwell (University of Glasgow), Leif Azzopardi (University of Strathclyde), Yashar Moshfeghi (University of Glasgow)
• Improving Exploratory Search Experience through Hierarchical Knowledge Graphs
  Bahareh Sarrafzadeh (University of Waterloo), Edward Lank (University of Waterloo & University of Lille)
• Searching on the Go: The Effects of Fragmented Attention on Mobile Web Search Tasks
  Morgan Harvey (Northumbria University), Matthew Pointon (Northumbria University)
• User Interaction Sequences for Search Satisfaction Prediction
  Rishabh Mehrotra (University College London & Microsoft Research), Imed Zitouni (Microsoft), Ahmed Hassan (Microsoft Research), Ahmed El Kholy (Microsoft), Madian Khabsa (Microsoft Research)

Session 2B: Filtering and Recommending 1

August 8 (Tuesday) 16:10-17:50, 5F Concord Ballroom C
Chair: Jun Wang (University College London)

• Multi-site User Behavior Modeling and Its Application in Video Recommendation
  Chunfeng Yang (The Chinese University of Hong Kong), Huan Yan (Tsinghua University), Donghan Yu (Tsinghua University), Yong Li (Tsinghua University), Dah Ming Chiu (The Chinese University of Hong Kong)
• Item Silk Road: Recommending Items from Information Domains to Social Users
  Xiang Wang (National University of Singapore), Xiangnan He (National University of Singapore), Liqiang Nie (ShanDong University), Tat-Seng Chua (National University of Singapore)
• Cross-Domain Recommendation via Clustering on Multi-Layer Graphs
  Aleksandr Farseev (National University of Singapore), Ivan Samborskii (ITMO University & National University of Singapore), Andrey Filchenkov (ITMO University), Tat-Seng Chua (National University of Singapore)
• Optimizing Trade-offs Among Stakeholders in Real-Time Bidding by Incorporating Multimedia Metrics
  Xiang Chen (National University of Singapore), Bowei Chen (University of Lincoln), Mohan Kankanhalli (National University of Singapore)
• A Probabilistic Reformulation of Memory-Based Collaborative Filtering – Implications on Popularity Biases
  Rocío Cañamares (Universidad Autónoma de Madrid), Pablo Castells (Universidad Autónoma de Madrid)

Session 2C: Other Applications and Specialized Domains

August 8 (Tuesday) 16:10-17:50, 5F Concord Ballroom A
Chair: Djoerd Hiemstra (University of Twente)

• Deep Semantic Hashing with Generative Adversarial Networks
  Zhaofan Qiu (University of Science and Technology of China), Yingwei Pan (University of Science and Technology of China), Ting Yao (Microsoft Research Asia), Tao Mei (Microsoft Research Asia)
• Characterizing and Predicting Enterprise Email Reply Behavior
  Liu Yang (University of Massachusetts Amherst), Susan T. Dumais (Microsoft Research), Paul N. Bennett (Microsoft Research), Ahmed Hassan Awadallah (Microsoft Research)
• ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling
  Chao Zhang (University of Illinois at Urbana-Champaign), Keyang Zhang (University of Illinois at Urbana-Champaign), Quan Yuan (University of Illinois at Urbana-Champaign), Fangbo Tao (University of Illinois at Urbana-Champaign), Luming Zhang (Hefei University of Technology), Tim Hanratty (U.S. Army Research Lab), Jiawei Han (University of Illinois at Urbana-Champaign)
• EntiTables: Smart Assistance for Entity-Focused Tables
  Shuo Zhang (University of Stavanger), Krisztian Balog (University of Stavanger)
• [TOIS] A Tensor-Based Information Framework for Predicting the Stock Market
  Qing Li (University of Arizona), Yuanzhu Chen (Memorial University of Newfoundland), Li Ling Jiang (Southwest University of Finance and Economics China), Ping Li (Southwest University of Finance and Economics China), Hsinchun Chen (University of Arizona)

Session 3A: Search Interaction 2

August 9 (Wednesday) 10:30-12:10, 5F Eminence Hall
Chair: Jaime Teevan (Microsoft Research)

• Understanding and Modeling Success in Email Search
  Jinyoung Kim (Snap Inc.), Nick Craswell (Microsoft), Susan Dumais (Microsoft), Filip Radlinski (Microsoft), Fang Liu (Microsoft)
• Investigating Examination Behavior of Image Search Users
  Xiaohui Xie (Tsinghua University), Yiqun Liu (Tsinghua University), Xiaochuan Wang (Sogou Incorporation), Meng Wang (Hefei Institute of Technology), Zhijing Wu (Tsinghua University), Yingying Wu (The University of Texas at Austin ), Min Zhang (Tsinghua University), Shaoping Ma (Tsinghua University)
• Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach
  Rishabh Mehrotra (University College London), Emine Yilmaz (University College London)
• Using Information Scent to Understand Mobile and Desktop Web Search Behavior
  Kevin Ong (RMIT University), Kalervo Järvelin (University of Tampere), Mark Sanderson (RMIT University), Falk Scholer (RMIT University)
• Deep Character-Level Click-Through Rate Prediction for Sponsored Search
  Bora Edizel (Pompeu Fabra University and Eurecat & Yahoo), Amin Mantrach (Criteo Labs & Yahoo), Xiao Bai (Yahoo Research)

Session 3B: Filtering and Recommending 2

August 9 (Wednesday) 10:30-12:10, 5F Concord Ballroom C
Chair: Min Zhang (Tsinghua University)

• Personalized Key Frame Recommendation
  Xu Chen (Tsinghua University), Yongfeng Zhang (University of Massachusetts Amherst), Qingyao Ai (University of Massachusetts Amherst), Hongteng Xu (Georgia Institute of Technology), Junchi Yan (East China Normal University & IBM Research, China), Zheng Qin (Tsinghua University)
• Personalized Itinerary Recommendation with Queuing Time Awareness
  Kwan Hui Lim (The University of Melbourne), Jeffrey Chan (RMIT University), Shanika Karunasekera (The University of Melbourne), Christopher Leckie (The University of Melbourne)
• Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention
  Jingyuan Chen (National University of Singapore), Hanwang Zhang (Columbia University), Xiangnan He (National University of Singapore), Liqiang Nie (ShanDong University), Wei Liu (Tencent AI Lab), Tat-Seng Chua (National University of Singapore)
• Neural Rating Regression with Abstractive Tips Generation for Recommendation
  Piji Li (The Chinese University of Hong Kong), Zihao Wang (The Chinese University of Hong Kong), Zhaochun Ren (Data Science Lab, JD.com), Lidong Bing (AI Lab, Tencent Inc.), Wai Lam (The Chinese University of Hong Kong)
• Neural Factorization Machines for Sparse Predictive Analytics
  Xiangnan He (National University of Singapore), Tat-Seng Chua (National University of Singapore)

Session 3C: Document Representation and Content Analysis 2

August 9 (Wednesday) 10:30-12:10, 5F Concord Ballroom A
Chair: Jaap Kamps (University of Amsterdam)

• Accounting for the Correspondence in Commented Data
  Renqin Cai (University of Virginia), Chi Wang (Microsoft Research), Hongning Wang (University of Virginia)
• Jointly Learning Word Embeddings and Latent Topics
  Bei Shi (Chinese University of Hong Kong), Wai Lam (Chinese University of Hong Kong), Shoaib Jameel (Cardiff University), Steven Schockaert (Cardiff University), Kwun Ping Lai (Chinese University of Hong Kong)
• [TOIS] MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets
  Elena Baralis (Polytechnic Institute of Turin), Luca Cagliero (Polytechnic Institute of Turin), Alessandro Fiori (Institute for Cancer Research and Treatment, Candiolo), Paolo Garza (Polytechnic Institute of Milan)
• [TOIS] Power Law Distributions in Information Retrieval
  Casper Petersen (University of Copenhagen), Jakob Grue Simonsen (University of Copenhagen), Christina Lioma (University of Copenhagen)
• On the Power Laws of Language: Word Frequency Distributions
  Flavio Chierichetti (Sapienza University of Rome), Ravi Kumar (Google), Bo Pang (Google)

Session 4A: Evaluation 2

August 9 (Wednesday) 15:40-17:20, 5F Eminence Hall
Chair: Diane Kelly (University of Tennessee)

• Retrieval Consistency in the Presence of Query Variations
  Peter Bailey (Microsoft), Alistair Moffat (University of Melbourne), Falk Scholer (RMIT University), Paul Thomas (Microsoft)
• Comparing In Situ and Multidimensional Relevance Judgments
  Jiepu Jiang (University of Massachusetts Amherst), Daqing He (University of Pittsburgh), James Allan (University of Massachusetts Amherst)
• Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems
  Adam Roegiest (University of Waterloo), Luchen Tan (University of Waterloo), Jimmy Lin (University of Waterloo)
• Evaluating Web Search with a Bejeweled Player Model
  Fan Zhang (Tsinghua University), Yiqun Liu (Tsinghua University), Xin Li (Tsinghua University), Min Zhang (Tsinghua University), Yinghui Xu (Alibaba Group), Shaoping Ma (Tsinghua University)
• Evaluating Mobile Search with Height-Biased Gain
  Cheng Luo (Tsinghua University), Yiqun Liu (Tsinghua University), Tetsuya Sakai (Waseda University), Fan Zhang (Tsinghua University), Min Zhang (Tsinghua University), Shaoping Ma (Tsinghua University)

Session 4B: Retrieval Models and Ranking 2

August 9 (Wednesday) 15:40-17:20, 5F Concord Ballroom C
Chair: Jun Xu (Chinese Academy of Sciences)

• Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval
  Ruey-Cheng Chen (RMIT University), Luke Gallagher (RMIT University), Roi Blanco (RMIT University), J. Shane Culpepper (RMIT University)
• Computational Social Indicators: A Case Study of Chinese University Ranking
  Fuli Feng (National University of Singapore), Liqiang Nie (Shandong University), Xiang Wang (National University of Singapore), Richang Hong (Hefei University of Technology), Tat-Seng Chua (National University of Singapore)
• Information Retrieval Meets Game Theory: The Ranking Competition Between Documents’ Authors
  Nimrod Raifer (Technion), Fiana Raiber (Yahoo Research & Technion), Moshe Tennenholtz (Technion), Oren Kurland (Technion)
• [TOIS] TopPRF: A Probabilistic Framework for Integrating Topic Space into Pseudo Relevance Feedback
  Jun Miao (York University), Jimmy Xiangji Huang (York University), Jiashu Zhao (York University)
• On Application of Learning to Rank for E-Commerce Search
  Shubhra Kanti Karmaker Santu (University of Illinois Urbana Champaign), Parikshit Sondhi (WalmartLabs), ChengXiang Zhai (University of Illinois Urbana Champaign)

Session 4C: Queries and Query Analysis

August 9 (Wednesday) 15:40-17:20, 5F Concord Ballroom A
Chair: Yoelle Maarek (Yahoo Research)

• Intent-Aware Semantic Query Annotation
  Rafael Glater (Federal University of Minas Gerais), Rodrygo L. T. Santos (Federal University of Minas Gerais), Nivio Ziviani (Federal University of Minas Gerais)
• Efficient & Effective Selective Query Rewriting with Efficiency Predictions
  Craig Macdonald (University of Glasgow), Nicola Tonellotto (CNR), Iadh Ounis (University of Glasgow)
• Relevance-based Word Embedding
  Hamed Zamani (University of Massachusetts Amherst), W. Bruce Croft (University of Massachusetts Amherst)
• [TOIS] Query Performance Prediction Using Reference Lists
  Anna Shtok (Technion – Israel Institute of Technology), Oren Kurland (Technion – Israel Institute of Technology), David Carmel (Yahoo Lab)
• [TOIS] Diversifying Query Auto-Completion
  Fei Cai (NUDT Changsha), Ridho Reinanda (Bloomberg London), Maarten De Rijke (University of Amsterdam)

Session 5A: Retrieval Models and Ranking 3

August 10 (Thursday) 9:00-10:40, 5F Eminence Hall
Chair: Benjamin Piwowarski (LIP6, Sorbonne Universités/UPMC/CNRS)

• IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
  Jun Wang (University College London), Lantao Yu (Shanghai Jiao Tong University), Weinan Zhang (Shanghai Jiao Tong University), Yu Gong (Alibaba Inc.), Yinghui Xu (Alibaba Inc.), Benyou Wang (Tianjin University), Peng Zhang (Tianjin University), Dell Zhang (Birkbeck, University of London)
• Personalized PageRank in Uncertain Graphs with Mutually Exclusive Edges
  Jung Hyun Kim (Arizona State University), Mao-Lin Li (Arizona State University), K. Selçuk Candan (Arizona State University), Maria Luisa Sapino (University of Torino)
• Adapting Markov Decision Process for Search Result Diversification
  Long Xia (Chinese Academy of Sciences), Jun Xu (Chinese Academy of Sciences), Yanyan Lan (Chinese Academy of Sciences), Jiafeng Guo (Chinese Academy of Sciences), Wei Zeng (Chinese Academy of Sciences), Xueqi Cheng (Chinese Academy of Sciences)
• Learning to Diversify Search Results via Subtopic Attention
  Zhengbao Jiang (Renmin University of China), Ji-Rong Wen (Renmin University of China), Zhicheng Dou (Renmin University of China), Wayne Xin Zhao (Renmin University of China), Jian-Yun Nie (Université de Montréal), Ming Yue (Renmin University of China)
• Retrieval Algorithms Optimized for Human Learning
  Rohail Syed (University of Michigan), Kevyn Collins-Thompson (University of Michigan)

Session 5B: Filtering and Recommending 3

August 10 (Thursday) 9:00-10:40, 5F Concord Ballroom C
Chair: Yi Zhang (University of California, Santa Cruz)

• Content Recommendation for Viral Social Influence
  Sergei Ivanov (Skoltech), Konstantinos Theocharidis (University of Peloponnese & Institute for the Management of Information Systems, Athena Research and Innovation Center), Manolis Terrovitis (Institute for the Management of Information Systems, Athena Research and Innovation Center), Panagiotis Karras (Aalborg University)
• Exploiting Food Choice Biases for Healthier Recipe Recommendation
  David Elsweiler (University of Regensburg), Christoph Trattner (MODUL University Vienna), Morgan Harvey (Northumbria University)
• Embedding Factorization Models for Jointly Recommending Items and User Generated Lists
  Da Cao (Xiamen University of Technology, Xiamen University), Liqiang Nie (Shandong University), Xiangnan He (National University of Singapore), Xiaochi Wei (Beijing Institute of Technology), Shunzhi Zhu (Xiamen University of Technology), Shunxiang Wu (Xiamen University), Tat-Seng Chua (National University of Singapore)
• [TOIS] On Effective Location-Aware Music Recommendation
  Zhiyong Cheng (Singapore Management University), Jialie Shen (Singapore Management University)
• [TOIS] Probabilistic Models for Contextual Agreement in Preferences
  Loc Do (Singapore Mangement University), Hady W. Lauw (Singapore Management University)

Session 5C: Efficiency and Scalability

August 10 (Thursday) 9:00-10:40, 5F Concord Ballroom A
Chair: Andrew Trotman (University of Otago)

• Classification by Retrieval: Binarizing Data and Classifiers
  Fumin Shen (University of Electronic Science and Technology of China), Yadong Mu (Peking University), Yang Yang (University of Electronic Science and Technology of China), Wei Liu (Tencent AI Lab), Li Liu (Malong Technologies Co., Ltd), Jingkuan Song (University of Electronic Science and Technology of China), Heng Tao Shen (University of Electronic Science and Technology of China)
• BitFunnel: Revisiting Signatures for Search
  Bob Goodwin (Microsoft), Michael Hopcroft (Microsoft), Dan Luu (Microsoft), Alex Clemmer (Heptio), Mihaela Curmei (Microsoft), Sameh Elnikety (Microsoft), Yuxiong He (Microsoft)
• Efficient Data Structures for Massive N-Gram Datasets
  Giulio Ermanno Pibiri (University of Pisa and ISTI-CNR), Rossano Venturini (University of Pisa and ISTI-CNR)
• Faster BlockMax WAND with Variable-sized Blocks
  Antonio Mallia (University of Pisa), Giuseppe Ottaviano (ISTI-CNR), Elia Porciani (University of Pisa), Nicola Tonellotto (ISTI-CNR), Rossano Venturini (University of Pisa)
• LoSHa: A General Framework for Scalable Locality Sensitive Hashing
  Jinfeng Li (The Chinese University of Hong Kong), James Cheng (The Chinese University of Hong Kong), Fan Yang (The Chinese University of Hong Kong), Yuzhen Huang (The Chinese University of Hong Kong), Yunjian Zhao (The Chinese University of Hong Kong), Xiao Yan (The Chinese University of Hong Kong), Ruihao Zhao (The Chinese University of Hong Kong)

Session 6A: Personalization and Privacy

August 10 (Thursday) 11:10-12:30, 5F Eminence Hall
Chair: Ian Soboroff (National Institute of Standards and Technology)

• Learning a Hierarchical Embedding Model for Personalized Product Search
  Qingyao Ai (University of Massachusetts Amherst), Yongfeng Zhang (University of Massachusetts Amherst), Keping Bi (University of Massachusetts Amherst), Xu Chen (Tsinghua University), W. Bruce Croft (University of Massachusetts Amherst)
• Exploring User-Specific Information in Music Retrieval
  Zhiyong Cheng (School of Computing, National University of Singapore), Jialie Shen (Northumbria University), Liqiang Nie (Shandong University), Tat-Seng Chua (School of Computing, National University of Singapore), Mohan Kankanhalli (School of Computing, National University of Singapore)
• The Utility and Privacy Effects of a Click
  Rachid Guerraoui (EPFL), Anne-marie Kermarrec (Inria), Mahsa Taziki (EPFL)
• Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling
  Asia J. Biega (Max Planck Institute for Informatics), Rishiraj Saha Roy (Max Planck Institute for Informatics), Gerhard Weikum (Max Planck Institute for Informatics)

Session 6B: Conversations and Question Answering

August 10 (Thursday) 11:10-12:30, 5F Concord Ballroom C
Chair: Peter Bailey (Microsoft)

• Joint Learning of Response Ranking and Next Utterance Suggestion in Human-Computer Conversation System
  Rui Yan (Peking University), Dongyan Zhao (Peking University), Weinan E (Beijing Institute of Big Data Research)
• Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
  Yi Tay (Nanyang Technological University), Minh C Phan (Nanyang Technological University), Luu Anh Tuan (Agency for Science Technology and Research (A*Star)), Siu Cheung Hui (Nanyang Technological University)
• Incomplete Follow-up Question Resolution using Retrieval based Sequence to Sequence Learning
  Vineet Kumar (IBM Research Labs), Sachindra Joshi (IBM Research Labs)
• Modelling Information Needs in Collaborative Search Conversations
  Sosuke Shiga (University of Tsukuba), Hideo Joho (University of Tsukuba), Roi Blanco (RMIT University), Johanne Trippas (RMIT University), Mark Sanderson (RMIT University)

Session 7A: Social

August 10 (Thursday) 14:30-15:50, 5F Eminence Hall
Chair: Mark Sanderson (RMIT University)

• Predicting Which Topics You Will Join in the Future on Social Media
  Haoran Huang (Fudan University), Qi Zhang (Fudan University), Jindou Wu (Fudan University), Xuanjing Huang (Fudan University)
• What Are You Known For? Learning User Topical Profiles with Implicit and Explicit Footprints
  Cheng Cao (Texas A&M University), Hancheng Ge (Texas A&M University), Haokai Lu (Texas A&M University), Xia Hu (Texas A&M University), James Caverlee (Texas A&M University)
• Hierarchical Community-Level Information Diffusion Modeling in Social Networks
  Yuan Zhang (Peking University), Tianshu Lyu (Peking University), Yan Zhang (Peking University)
• [TOIS] Volunteerism Tendency Prediction via Harvesting Multiple Social Networks
  Xuemeng Song (National University of Singapore), Zhao-Yan Ming (NUS Graduate School for Integrative Sciences and Engineering), Liqiang Nie (Shandong University), Yi-Liang Zhao (National University of Singapore), Tat-Seng Chua (NUS Graduate School for Integrative Sciences and Engineering)

Session 7B: Entities

August 10 (Thursday) 14:30-15:50, 5F Concord Ballroom C
Chair: David Carmel (Yahoo Research)

• Word-Entity Duet Representations for Document Ranking
  Chenyan Xiong (Carnegie Mellon University), Jamie Callan (Carnegie Mellon University), Tie-Yan Liu (Microsoft Research)
• Dynamic Factual Summaries for Entity Cards
  Faegheh Hasibi (Norwegian University of Science and Technology), Krisztian Balog (University of Stavanger), Svein Erik Bratsberg (Norwegian University of Science and Technology)
• MEmbER: Max-Margin Based Embeddings for Entity Retrieval
  Shoaib Jameel (Cardiff University), Zied Bouraoui (Cardiff University), Steven Schockaert (Cardiff University)

Short papers and demo papers

Poster and demo session 1

August 8 (Tuesday) 14:20-16:10, 43F Comet/Moonlight/Starlight/Subaru [poster layout]

Short papers (research)

• [S1-01] On the Reusability of “Living Labs” Test Collections: A Case Study of Real-Time Summarization
  Luchen Tan (University of Waterloo), Gaurav Baruah (University of Waterloo), Jimmy Lin (University of Waterloo)
• [S1-02] Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering
  Haotian Zhang (University of Waterloo), Jinfeng Rao (University of Maryland), Jimmy Lin (University of Waterloo), Mark D. Smucker (University of Waterloo)
• [S1-03] Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization
  Xiao Shen (Hong Kong Polytechnic University), Fu-lai Chung (Hong Kong Polytechnic University), Sitong Mao (Hong Kong Polytechnic University)
• [S1-04] Combining Top-N Recommenders with Metasearch Algorithms
  Daniel Valcarce (University of A Coruña), Javier Parapar (University of A Coruña), Álvaro Barreiro (University of A Coruña)
• [S1-05] Counter Deanonymization Query: H-index Based k-Anonymization Privacy Protection for Social Networks
  Jianliang Gao (Central South University), Bo Song (Drexel University), Zheng Chen (Drexel University), Weimao Ke (Drexel University), Wanying Ding (Drexel University), Xiaohua Hu (Drexel University)
• [S1-06] SPOT: Selecting occuPations frOm Trajectories
  Peipei Li (East China Normal University), Junjie Yao (East China Normal University), Liping Wang (East China Normal University), Xuemin Lin (University of New South Wales)
• [S1-07] Personalized Query Suggestion Diversification
  Wanyu Chen (National University of Defense Technology), Fei Cai (National University of Defense Technology), Honghui Chen (National University of Defense Technology), Maarten de Rijke (Informatics Institute University of Amsterdam)
• [S1-08] Weighted Domain Translation for Online News Comments Emotion Tagging
  Ying Zhang (Nankai University), Li Yu (Nankai University), Xue Zhao (Nankai University), Xiaojie Yuan (Nankai University), Lei Xu (Nankai University)
• [S1-09] From Footprint to Friendship: Modeling User Followership in Mobile Social Networks from Check-in Data
  Cheng Wang (Tongji University), Jieren Zhou (Tongji University), Bo Yang (Tongji University)
• [S1-10] Video Question Answering via Attribute-Augmented Attention Network Learning
  Yunan Ye (Zhejiang University), Zhou Zhao (Zhejiang University), Yimeng Li (Zhejiang University), Long Chen (Zhejiang University), Jun Xiao (Zhejiang University), Yueting Zhuang (Zhejiang University)
• [S1-11] Learning Max-Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggestion
  Zhou Zhao (Zhejiang University), Qifan Yang (Zhejiang University), Hanqing Lu (Zhejiang University), Min Yang (Tencent AI Lab), Jun Xiao (Zhejiang University), Fei Wu (Zhejiang University), Yueting Zhuang (Zhejiang University)
• [S1-12] Learning To Rank Resources
  Zhuyun Dai (Carnegie Mellon University), Yubin Kim (Carnegie Mellon University), Jamie Callan (Carnegie Mellon University)
• [S1-13] DeepStyle: Learning User Preferences for Visual Recommendation
  Qiang Liu (Chinese Academy of Sciences & University of Chinese Academy of Sciences), Shu Wu (Chinese Academy of Sciences), Liang Wang (Chinese Academy of Sciences & University of Chinese Academy of Sciences)
• [S1-14] Target Type Identification for Entity-Bearing Queries
  Dario Garigliotti (University of Stavanger), Faegheh Hasibi (Norwegian University of Science and Technology), Krisztian Balog (University of Stavanger)
• [S1-15] Query Expansion for Email Search
  Saar Kuzi (Technion), David Carmel (Yahoo Research, Israel), Alex Libov (Yahoo Research, Israel), Ariel Raviv (Yahoo Research, Israel)
• [S1-16] Generating Clinical Queries from Patient Narratives
  Bevan Koopman (CSIRO), Liam Cripwell (CSIRO), Guido Zuccon (Queensland University of Technology)
• [S1-17] Centered kNN Graph for Semi-Supervised Learning
  Ikumi Suzuki (Yamagata University), Kazuo Hara (National Institute of Genetics)
• [S1-18] Event Recommendation based on Graph Random Walking and History Preference Reranking
  Shenghao Liu (Huzhong University of Science and Technology (HUST)), Bang Wang (Huzhong University of Science and Technology (HUST)), Minghua Xu (Huzhong University of Science and Technology (HUST))
• [S1-19] An Extended Relevance Model for Session Search
  Nir Levine (Technion – Israel Institute of Technology), Haggai Roitman (IBM Research – Haifa), Doron Cohen (IBM Research – Haifa)
• [S1-20] An Enhanced Approach to Query Performance Prediction Using Reference Lists
  Haggai Roitman (IBM Research – Haifa)
• [S1-21] Autonomous Crowdsourcing through Human-Machine Collaborative Learning
  Azad Abad (University of Trento), Moin Nabi (University of Trento), Alessandro Moschitti (Qatar Computing Research Institute, HBKU)
• [S1-22] Game State Retrieval with Keyword Queries
  Atsushi Ushiku (Kyoto University), Shinsuke Mori (Kyoto University), Hirotaka Kameko (The University of Tokyo), Yoshimasa Tsuruoka (The University of Tokyo)
• [S1-23] Improving Search Engines via Large-Scale Physiological Sensing
  Ryen W. White (Microsoft Cortana), Ryan Ma (Microsoft Bing)
• [S1-24] A Poisson Regression Method for Top-N Recommendation
  Jiajin Huang (Beijing University of Technology), Jian Wang (Beijing University of Technology), Ning Zhong (Maebashi Institute of Technology)
• [S1-25] A Hierarchical Multimodal Attention-based Neural Network for Image Captioning
  Yong Cheng (Fudan University), Fei Huang (Fudan University), Lian Zhou (Fudan University), Cheng Jin (Fudan University), Yuejie Zhang (Fudan University), Tao Zhang (Shanghai University of Finance and Economics)
• [S1-26] Unifying Multi-Source Social Media Data for Personalized Travel Route Planning
  Gang Hu (University of Electronic Science and Technology of China), Jie Shao (University of Electronic Science and Technology of China), Fumin Shen (University of Electronic Science and Technology of China), Zi Huang (The University of Queensland), Heng Tao Shen (University of Electronic Science and Technology of China)
• [S1-27] LiveMaps – Converting Map Images into Interactive Maps
  Michael R Evans (Microsoft Corp), Dragomir Yankov (Microsoft Corp), Pavel Berkhin (Microsoft Corp), Pavel Yudin (Microsoft Corp), Florin Teodorescu (Microsoft Corp), Wei Wu (Microsoft Corp)
• [S1-28] Sub-corpora Impact on System Effectiveness
  Nicola Ferro (University of Padua), Mark Sanderson (RMIT University)
• [S1-29] Automatic and Semi-Automatic Document Selection for Technology-Assisted Review
  Maura R. Grossman (University of Waterloo), Gordon V. Cormack (University of Waterloo), Adam Roegiest (Kira Systems)
• [S1-30] Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
  Huasha Zhao (Alibaba Group), Luo Si (Alibaba Group), Xiaogang Li (Alibaba Group), Qiong Zhang (Alibaba Group)
• [S1-31] Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream
  Haihui Tan (The Hong Kong Polytechnic University), Ziyu Lu (The Hong Kong Polytechnic University), Wenjie Li (The Hong Kong Polytechnic University)
• [S1-32] Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval
  Jianlong Wu (Peking University), Zhouchen Lin (Peking University), Hongbin Zha (Peking University)
• [S1-33] Label Aggregation for Crowdsourcing with Bi-Layer Clustering
  Jing Zhang (Nanjing University of Science and Technology), Victor S. Sheng (University of Central Arkansas), Tao Li (Florida International University)
• [S1-34] Effective Music Feature NCP: Enhancing Cover Song Recognition with Music Transcription
  Yao Cheng (Peking University), Xiaoou Chen (Peking University), Deshun Yang (Peking University), Xiaoshuo Xu (Peking University)
• [S1-35] Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval
  Fei Huang (Fudan University), Yong Cheng (Fudan University), Cheng Jin (Fudan University), Yuejie Zhang (Fudan University), Tao Zhang (Shanghai University of Finance and Economics)
• [S1-36] Cross-Device User Linking: URL, Session, Visiting Time, and Device-log Embedding
  Minh C. Phan (Nanyang Technological University), Aixin Sun (Nanyang Technological University), Yi Tay (Nanyang Technological University)
• [S1-37] Mailbox-Based vs. Log-Based Query Completion for Mail Search
  Michal Horovitz (Technion), Liane Lewin-Eytan (Yahoo Research), Alex Libov (Yahoo Research), Yoelle Maarek (Yahoo Research), Ariel Raviv (Yahoo Research)
• [S1-38] The Impact of Linkage Methods in Hierarchical Clustering for Active Learning to Rank
  Ziming Li (University of Amsterdam), Maarten de Rijke (University of Amsterdam)
• [S1-39] Reinforcement Learning to Rank with Markov Decision Process
  Wei Zeng (Institute of Computing Technology, Chinese Academy of Sciences), Jun Xu (Institute of Computing Technology, Chinese Academy of Sciences), Yanyan Lan (Institute of Computing Technology, Chinese Academy of Sciences), Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)
• [S1-40] A Comparative Live Evaluation of Multileaving Methods on a Commercial cQA Search
  Tomohiro Manabe (Yahoo Japan Corporation), Akiomi Nishida (Yahoo Japan Corporation), Makoto P. Kato (Kyoto University), Takehiro Yamamoto (Kyoto University), Sumio Fujita (Yahoo Japan Corporation)
• [S1-41] Support for Interactive Identification of Mentioned Entities in Conversational Speech
  Ning Gao (University of Maryland, College Park), Douglas W. Oard (University of Maryland, College Park), Mark Dredze (The Johns Hopkins University)
• [S1-42] AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
  Shuai Zhang (University of New South Wales), Lina Yao (University of New South Wales), Xiwei Xu (Data61, CSIRO)
• [S1-43] Unsupervised Query-Focused Multi-Document Summarization using the Cross Entropy Method
  Guy Feigenblat (IBM Research – Haifa), Haggai Roitman (IBM Research – Haifa), Odellia Boni (IBM Research – Haifa), David Konopnicki (IBM Research – Haifa)
• [S1-44] Translation of Natural Language Query Into Keyword Query Using a RNN Encoder-Decoder
  Hyun-Je Song (Naver Corporation), A-Yeong Kim (Kyungpook National University), Seong-Bae Park (Kyungpook National University)
• [S1-45] Predictive Network Representation Learning for Link Prediction
  Zhitao Wang (The Hong Kong Polytechnic University), Chengyao Chen (The Hong Kong Polytechnic University), Wenjie Li (The Hong Kong Polytechnic University)
• [S1-46] Sentence-level Sentiment Classification with Weak Supervision
  Fangzhao Wu (Tsinghua University), Jia Zhang (Tsinghua University), Zhigang Yuan (Tsinghua University), Sixing Wu (Tsinghua University), Yongfeng Huang (Tsinghua University), Jun Yan (Microsoft Research Asia)
• [S1-47] Predicting Session Length in Media Streaming
  Theodore Vasiloudis (RISE SICS), Hossein Vahabi (Pandora Media Inc.), Ross Kravitz (Pandora Media Inc.), Valery Rashkov (Pandora Media Inc.)
• [S1-48] Exploring the Query Halo Effect in Site Search
  Djoerd Hiemstra (University of Twente), Claudia Hauff (Delft University of Technology), Leif Azzopardi (University of Strathclyde)
• [S1-49] Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection
  Yifan Chen (National University of Defense Technology), Xiang Zhao (National University of Defense Technology, Collaborative Innovation Center of Geospatial Technology), Maarten de Rijke (University of Amsterdam)
• [S1-50] Applying Information Extraction for Patent Structure Analysis
  Masayuki Okamoto (Toshiba Corporation), Zifei Shan (Lattice Data, Inc.), Ryohei Orihara (Toshiba Corporation)
• [S1-51] Enhancing Recurrent Neural Networks with Positional Attention for Question Answering
  Qin Chen (East China Normal University), Qinmin Hu (East China Normal University), Jimmy Xiangji Huang (York University), Liang He (East China Normal University, Shanghai Engineering Research Center of Intelligent Service Robot), Weijie An (East China Normal University)
• [S1-52] Event Early Embedding: Predicting Event Volume Dynamics at Early Stage
  Zhiwei Liu (University of Electronic Science and Technology of China), Yang Yang (University of Electronic Science and Technology of China), Zi Huang(The University of Queensland), Fumin Shen(University of Electronic Science and Technology of China), Dongxiang Zhang(University of Electronic Science and Technology of China), Heng Tao Shen(University of Electronic Science and Technology of China)
• [S1-53] POI Popularity Prediction via Hierarchical Fusion of Multiple Social Clues
  Yaqian Duan (University of Electronic Science and Technology of China), Xinze Wang (University of Electronic Science and Technology of China), Yang Yang (University of Electronic Science and Technology of China), Zi Huang (University of Queensland), Ning Xie (University of Electronic Science and Technology of China), Heng Tao Shen (University of Electronic Science and Technology of China)
• [S1-54] Multitask Learning for Fine-Grained Twitter Sentiment Analysis
  Georgios Balikas (Univ. Grenoble Alps, CNRS, Grenoble INP – LIG), Simon Moura (Univ. Grenoble Alps, CNRS, Grenoble INP – LIG), Massih-Reza Amini (Univ. Grenoble Alps, CNRS, Grenoble INP – LIG)
• [S1-55] Evolution of Information Needs based on Life Event Experiences
  Naoto Takeda (University of Tsukuba), Yohei Seki (University of Tsukuba), Mimpei Morishita (kizasi Company, Inc.), Yoichi Inagaki (kizasi Company, Inc.)
• [S1-56] Distribution-oriented Aesthetics Assessment for Image Search
  Chaoran Cui (Shandong University of Finance and Economics), Huidi Fang (Shandong University), Xiang Deng (Shandong University), Xiushan Nie (Shandong University of Finance and Economics), Hongshuai Dai (Shandong University of Finance and Economics), Yilong Yin (Shandong University)
• [S1-57] On the Benefit of Incorporating External Features in a Neural Architecture for Answer Sentence Selection
  Ruey-Cheng Chen (RMIT University), Evi Yulianti (RMIT University), Mark Sanderson (RMIT University), W. Bruce Croft (University of Massachusetts Amherst)
• [S1-58] Personalized Response Generation via Domain adaptation
  Min Yang (Tencent AI Lab), Zhou Zhao (Zhejiang University), Wei Zhao (Tencent), Xiaojun Chen (Shenzhen University), Jia Zhu (South China Normal University), Lianqiang Zhou (Tencent AI Lab), Zigang Cao (Chinese Academy of Sciences)
• [S1-59] An Accurate, Efficient, and Scalable Approach to Channel Matching in Smart TVs
  Jiwon Hong (Hanyang University), Sang-Wook Kim (Hanyang University), Mina Rho (Hanyang University), YoonHee Choi (Samsung Electronics), Yoonsik Tak (Samsung Electronics)
• [S1-60] Top-K Influential Nodes in Social Networks: A Game Perspective
  Yu Zhang (Peking University), Yan Zhang (Peking University)

Demo papers

• [D1-01] BioNex: A System For Biomedical News Event Exploration
  Patrick Ernst (Max-Planck Institute for Informatics), Arunav Mishra (Max-Planck Institute for Informatics), Avishek Anand (L3S Research Center), Vinay Setty (Aalborg University)
• [D1-02] RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions
  Claudio Lucchese (ISTI-CNR), Cristina Ioana Muntean (ISTI-CNR), Franco Maria Nardini (ISTI-CNR), Raffaele Perego (ISTI-CNR), Salvatore Trani (ISTI-CNR)
• [D1-03] ReviewMiner: An Aspect-based Review Analytics System
  Hongning Wang (University of Virginia), Derek Wu (University of Virginia)
• [D1-04] Nordlys: A Toolkit for Entity-Oriented and Semantic Search
  Faegheh Hasibi (Norwegian University of Science and Technology), Krisztian Balog (University of Stavanger), Darío Garigliotti (dario.garigliotti@uis.no), Shuo Zhang (University of Stavanger)
• [D1-05] Teaching the Information Retrieval Process Using a Web-Based Environment and Game Mechanics
  Thomas Wilhelm-Stein (Chemnitz University of Technology), Stefan Kahl (Chemnitz University of Technology), Maximilian Eibl (Chemnitz University of Technology)
• [D1-06] Smart Media Generation System for Broadcasting Contents
  Jeong-Woo Son (Electronics and Telecommucations Research Institute), Wonjoo Park (Electronics and Telecommucations Research Institute), Sang-Yun Lee (Electronics and Telecommucations Research Institute), Jinwoo Kim (Korean Broadcasting System), Sun-Joong Kim (Electronics and Telecommucations Research Institute)
• [D1-07] EvALL: Open Access Evaluation for Information Access Systems
  Enrique Amigó (Universidad Nacional de Educación a Distancia (UNED)), Jorge Carrillo-de-Albornoz (Universidad Nacional de Educación a Distancia (UNED)), Mario Almagro-Cádiz (Universidad Nacional de Educación a Distancia (UNED)), Julio Gonzalo (Universidad Nacional de Educación a Distancia (UNED)), Javier Rodríguez-Vidal (Universidad Nacional de Educación a Distancia (UNED)), Felisa Verdejo (Universidad Nacional de Educación a Distancia (UNED))
• [D1-08] TOTEM: Personal Tweets Summarization on Mobile Devices
  Jin Yao Chin (Nanyang Technological University), Sourav S Bhowmick (Nanyang Technological University), Adam Jatowt (Kyoto University)

Poster and demo session 2

August 9 (Wednesday) 13:50-15:40, 43F Comet/Moonlight/Starlight/Subaru [poster layout]

Short papers (research)

• [S2-01] Online Learning to Rank for Cross-Language Information Retrieval
  Razieh Rahimi (Georgetown University), Azadeh Shakery (University of Tehran)
• [S2-02] Mining Business Opportunities from Location-based Social Networks
  Shenglin Zhao (The Chinese University of Hong Kong), Irwin King (The Chinese University of Hong Kong), Michael R. Lyu (The Chinese University of Hong Kong), Jia Zeng (Huawei Noah’s Ark Lab), Mingxuan Yuan (Huawei Noah’s Ark Lab)
• [S2-03] On Including the User Dynamic in Learning to Rank
  Nicola Ferro (University of Padua), Claudio Lucchese (ISTI-CNR), Maria Maistro (University of Padua), Raffaele Perego (ISTI-CNR)
• [S2-04] Document Expansion Using External Collections
  Garrick Sherman (University of Illinois at Urbana-Champaign), Miles Efron (University of Illinois at Urbana-Champaign)
• [S2-05] Detecting Positive Medical History Mentions
  Bing Bai (NEC Labs America, Inc.), Pierre-Francois Laquerre (Google Inc.), Richard Jackson (King’s College London), Robert Stewart (King’s College London)
• [S2-06] Emotional Social Signals for Search Ranking
  Ismail Badache (LSIS UMR 7296 CNRS University Aix-Marseille), Mohand Boughanem (IRIT Paul University Sabatier)
• [S2-08] A Metric for Sentence Ordering Assessment Based on Topic-Comment Structure
  Liana Ermakova (LISIS, CNRS-ESIEE-INRA-UPEM, Université de Lorraine), Josiane Mothe (IRIT, URM5505 CNRS, ESPE, Université de Toulouse), Anton Firsov (Perm State University)
• [S2-09] Gaussian Embeddings for Collaborative Filtering
  Ludovic Dos Santos (Sorbonne Universités, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606), Benjamin Piwowarski (Sorbonne Universités, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606), Patrick Gallinari (Sorbonne Universités, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606)
• [S2-10] Detecting Controversies in Online News Media
  Kaspar Beelen (University of Amsterdam), Evangelos Kanoulas (University of Amsterdam), Bob van de Velde (University of Amsterdam)
• [S2-11] Generating and Personalizing Bundle Recommendations on Steam
  Apurva Pathak (University of California, San Diego), Kshitiz Gupta (University of California, San Diego), Julian McAuley (University of California, San Diego)
• [S2-12] X-DART: Blending Dropout and Pruning for Efficient Learning to Rank
  Claudio Lucchese (ISTI-CNR), Franco Maria Nardini (ISTI-CNR), Salvatore Orlando (Università Ca’ Foscari of Venice), Raffaele Perego (ISTI-CNR), Salvatore Trani (ISTI-CNR)
• [S2-13] Non-negative Matrix Factorization Meets Word Embedding
  Melissa Ailem (LIPADE, Paris Descartes University), Aghiles Salah (LIPADE, Paris Descartes University), Mohamed Nadif (LIPADE, Paris Descartes University)
• [S2-14] Term Proximity Constraints for Pseudo-Relevance Feedback
  Ali Montazeralghaem (University Of Tehran), Hamed Zamani (University of Massachusetts Amherst), Azadeh Shakery (University Of Tehran, Institute for Research in Fundamental Sciences (IPM))
• [S2-15] Gauging the Quality of Relevance Assessments using Inter-Rater Agreement
  Tadele T. Damessie (RMIT University), Thao P. Nghiem (RMIT University), Falk Scholer (RMIT University), J. Shane Culpepper (RMIT University)
• [S2-16] Neural Citation Network for Context-Aware Citation Recommendation
  Travis Ebesu (Santa Clara University), Yi Fang (Santa Clara University)
• [S2-17] A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences
  Graham McDonald (University of Glasgow), Nicolás García-Pedrajas (University of Córdoba), Craig Macdonald (University of Glasgow), Iadh Ounis (University of Glasgow)
• [S2-18] Entity Set Expansion via Knowledge Graphs
  Xiangling Zhang (Renmin University of China), Yueguo Chen (Renmin University of China), Jun Chen (Renmin University of China), Xiaoyong Du (Renmin University of China), Ke Wang (Simon Fraser University), Ji-Rong Wen (Renmin University of China)
• [S2-19] Word Embedding Causes Topic Shifting; Exploit Global Context!
  Navid Rekabsaz (TU WIEN), Mihai Lupu (TU WIEN), Hamed Zamani (University of Massachusetts Amherst), Allan Hanbury (TU WIEN)
• [S2-20] Building Your Own Reading List Anytime via Embedding Relevance, Quality, Timeliness and Diversity
  Bo-Wen Zhang (University of Science and Technology Beijing), Xu-Cheng Yin (University of Science and Technology Beijing), Fang Zhou (University of Science and Technology Beijing), Jian-Lin Jin (University of Science and Technology Beijing)
• [S2-21] ENCORE: External Neural Constraints Regularized Distant Supervision for Relation Extraction
  Siliang Tang (Zhejiang University), Jinjian Zhang (Zhejiang University), Ning Zhang (Zhejiang University), Fei Wu (Zhejiang University), Jun Xiao (Zhejiang University), Yueting Zhuang (Zhejiang University)
• [S2-22] Information Retrieval Model using Generalized Pareto Distribution and Its Application to Instance Search
  Masaya Murata (NTT Communication Science Labs.), Kaoru Hiramatsu (NTT Communication Science Labs.), Shin’ichi Satoh (National Institute of Informatics)
• [S2-23] Predicting Information Seeking Intentions from Search Behaviors
  Matthew Ryan Mitsui (Rutgers University), Jiqun Liu (Rutgers University), Nicholas J Belkin (Rutgers University), Chirag Shah (Rutgers University)
• [S2-24] But Is It Statistically Significant?
  Ben Carterette (University of Delaware)
• [S2-25] Generalized Mixed Effect Models for Personalizing Job Search
  Ankan Saha (Linkedin Corporation), Dhruv Arya (Linkedin Corporation)
• [S2-26] Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge
  Arman Cohan (Georgetown University), Nazli Goharian (Georgetown University)
• [S2-27] Crowdsourced App Review Manipulation
  Shanshan Li (Texas A&M University), James Caverlee (Texas A&M University), Wei Niu (Texas A&M University), Parisa Kaghazgaran (Texas A&M University)
• [S2-28] CitySearcher: A City Search Engine For Interests
  Mohamed Abdel Maksoud (Codoma.tech Advanced Technologies), Gaurav Pandey (University of Jyvaskyla), Shuaiqiang Wang (University of Manchester)
• [S2-29] Cross-Language Question Re-Ranking
  Giovanni Da San Martino (Qatar Computing Research Institute, HBKU), Salvatore Romeo (Qatar Computing Research Institute, HBKU), Alberto Barrón-Cedeño (Qatar Computing Research Institute, HBKU), Shafiq Joty (Qatar Computing Research Institute, HBKU), Lluís Màrquez (Qatar Computing Research Institute, HBKU), Alessandro Moschitti (Qatar Computing Research Institute, HBKU), Preslav Nakov (Qatar Computing Research Institute, HBKU)
• [S2-30] Open Relation Extraction for Support Passage Retrieval: Merit and Open Issues
  Laura Dietz (University of New Hampshire), Amina Kadry (Dynamix Consulting)
• [S2-31] Generating Query Suggestions to Support Task-Based Search
  Dario Garigliotti (University of Stavanger), Krisztian Balog (University of Stavanger)
• [S2-32] De-duping URLs with Sequence-to-Sequence Neural Networks
  Keyang Xu (Carnegie Mellon University), Zhengzhong Liu (Carnegie Mellon University), Jamie Callan (Carnegie Mellon University)
• [S2-33] Graph Summarization for Entity Relatedness Visualization
  Yukai Miao (University of New South Wales), Jianbin Qin (University of New South Wales), Wei Wang (University of New South Wales)
• [S2-34] Layout and Semantics: Combining Representations for Mathematical Formula Search
  Kenny Davila (Rochester Institute of Technology), Richard Zanibbi (Rochester Institute of Technology)
• [S2-35] Understanding and Predicting Usefulness Judgment in Web Search
  Jiaxin Mao (Tsinghua University), Yiqun Liu (Tsinghua University), Huanbo Luan (Tsinghua University), Min Zhang (Tsinghua University), Shaoping Ma (Tsinghua University), Hengliang Luo (Samsung Beijing R&D Center), Yuntao Zhang (Samsung Beijing R&D Center)
• [S2-36] Open Source Repository Recommendation in Social Coding
  Jyun-Yu Jiang (University of California, Los Angeles), Pu-Jen Cheng (National Taiwan University), Wei Wang (University of California, Los Angeles)
• [S2-37] Venue Appropriateness Prediction for Personalized Context-Aware Venue Suggestion
  Mohammad Aliannejadi (Università della Svizzera italiana (USI)), Fabio Crestani (Università della Svizzera italiana (USI))
• [S2-38] Building Bridges across Social Platforms: Answering Twitter Questions with Yahoo! Answers
  Mossaab Bagdouri (University of Maryland), Douglas W. Oard (University of Maryland)
• [S2-39] Large-Scale Goodness Polarity Lexicons for Community Question Answering
  Todor Mihaylov (Heidelberg University), Daniel Balchev (Sofia University), Yasen Kiprov (Sofia University), Ivan Koychev (Sofia University), Preslav Nakov (Qatar Computing Research Institute, HBKU)
• [S2-40] A Neural Language Model for Query Auto-Completion
  Dae Hoon Park (Huawei Research America), Rikio Chiba (Yahoo Inc.)
• [S2-41] Social Media Advertisement Outreach: Learning the Role of Aesthetics
  Avikalp Srivastava (IIT Kharagpur), Madhav Datt (Harvard University), Jaikrishna Chaparala (IIT Kharagpur), Shubham Mangla (IIT Kharagpur), Priyadarshi Patnaik (IIT Kharagpur)
• [S2-42] Seasonal Web Search Query Selection for Influenza-Like Illness (ILI) Estimation
  Niels Dalum Hansen (University of Copenhagen/IBM), Kåre Mølbak (Statens Serum Institut), Ingemar J. Cox (University of Copenhagen), Christina Lioma (University of Copenhagen)
• [S2-43] Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic
  Mozhdeh Ariannezhad (University of Tehran), Ali Montazeralghaem (University of Tehran), Hamed Zamani (University of Massachusetts Amherst), Azadeh Shakery (University of Tehran, Institute for Research in Fundamental Sciences)
• [S2-44] Timestamping Entities using Contextual Information
  Adam Jatowt (Kyoto University), Daisuke Kawai (Kyoto University), Katsumi Tanaka (Kyoto University)
• [S2-45] On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments
  Alberto Barrón-Cedeño (Qatar Computing Research Institute, HBKU), Giovanni Da San Martino (Qatar Computing Research Institute, HBKU), Simone Filice (Qatar Computing Research Institute, HBKU), Alessandro Moschitti (Qatar Computing Research Institute, HBKU)
• [S2-46]Embedding-based Query Expansion for Weighted Sequential Dependence Retrieval Model
  Saeid Balaneshin-kordan (Wayne State University), Alexander Kotov (Wayne State University)

Short papers (resource)

• [S2-47] Experiments with Convolutional Neural Network Models for Answer Selection
  Jinfeng Rao (University of Maryland), Hua He (University of Maryland), Jimmy Lin (University of Waterloo)
• [S2-48] Luandri: A Clean Lua Interface to the Indri Search Engine
  Bhaskar Mitra (Microsoft), Fernando Diaz (Spotify), Nick Craswell (Microsoft)
• [S2-49] Finally, a Downloadable Test Collection of Tweets
  Royal Sequiera (University of Waterloo), Jimmy Lin (University of Waterloo)
• [S2-50] Cookpad Image Dataset: An Image Collection as Infrastructure for Food Research
  Jun Harashima (Cookpad Inc.), Yuichiro Someya (Cookpad Inc.), Yohei Kikuta (Cookpad Inc.)
• [S2-51] SogouT-16: A New Web Corpus to Embrace IR Research
  Cheng Luo (Tsinghua University), Yukun Zheng (Tsinghua University), Yiqun Liu (Tsinghua University), Xiaochuan Wang (Sogou Inc.), Jingfang Xu (Sogou Inc.), Min Zhang (Tsinghua University), Shaoping Ma (Tsinghua University)
• [S2-52] A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews
  Harrisen Scells (Queensland University of Technology), Guido Zuccon (Queensland University of Technology), Bevan Koopman (Australian E-Health Research Centre, CSIRO), Anthony Deacon (Queensland University of Technology), Leif Azzopardi (Strathclyde University), Shlomo Geva (Queensland University of Technology)
• [S2-53] One Million Posts: A Data Set of German Online Discussions
  Dietmar Schabus (Austrian Research Institute for Artificial Intelligence (OFAI)), Marcin Skowron (Austrian Research Institute for Artificial Intelligence (OFAI)), Martin Trapp (Austrian Research Institute for Artificial Intelligence (OFAI))
• [S2-54] KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation
  Sumit Sidana (University of Grenoble, CNRS/LIG), Charlotte Laclau (University of Grenoble, CNRS/LIG), Massih R. Amini (University of Grenoble, CNRS/LIG), Gilles Vandelle (Kelkoo), André Bois-Crettez (Kelkoo)
• [S2-55] A Collection for Detecting Triggers of Sentiment Spikes
  Anastasia Giachanou (Università della Svizzera italiana (USI)), Ida Mele (Università della Svizzera italiana (USI)), Fabio Crestani (Università della Svizzera italiana (USI))
• [S2-56] Anserini: Enabling the Use of Lucene for Information Retrieval Research
  Peilin Yang (University of Delaware), Hui Fang (University of Delaware), Jimmy Lin (University of Waterloo)
• [S2-57] A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms
  Benjamin Kille (Institute for Commercial Information Technology and Quantitative Methods), Andreas Lommatzsch (Institute for Commercial Information Technology and Quantitative Methods), Frank Hopfgartner (Humanities Advanced Technology and Information Institute), Martha Larson (Multimedia Information Technology Group), Arjen P de Vries (Institute of Computing and Information Sciences)
• [S2-58] A Large-Scale Query Spelling Correction Corpus
  Matthias Hagen (Bauhaus-Universität Weimar), Martin Potthast (Bauhaus-Universität Weimar), Marcel Gohsen (Bauhaus-Universität Weimar), Anja Rathgeber (Bauhaus-Universität Weimar), Benno Stein (Bauhaus-Universität Weimar)
• [S2-59] DBpedia-Entity v2: A Test Collection for Entity Search
  Faegheh Hasibi (Norwegian University of Science and Technology), Fedor Nikolaev (Wayne State University), Chenyan Xiong (Carnegie Mellon University), Krisztian Balog (University of Stavanger), Svein Erik Bratsberg (Norwegian University of Science and Technology), Alexander Kotov (Wayne State University), Jamie Callan (Carnegie Mellon University)
• [S2-60] A Cross-Platform Collection for Contextual Suggestion
  Mohammad Aliannejadi (Università della Svizzera italiana (USI)), Ida Mele (Università della Svizzera italiana (USI)), Fabio Crestani (Università della Svizzera italiana (USI))
• [S2-61] RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval
  Pedro Saleiro (Universidade do Porto), Natasa Milic-Frayling (School of Computer Science, University of Nottingham), Eduarda Mendes Rodrigues (Universidade do Porto), Carlos Soares (Universidade do Porto)

Demo papers

• [D2-01] LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency
  Sosuke Kato (Waseda University), Riku Togashi (Yahoo Japan Corporation), Hideyuki Maeda (Yahoo Japan Corporation), Sumio Fujita (Yahoo Japan Corporation), Tetsuya Sakai (Waseda University)
• [D2-02] Proactive Information Retrieval via Screen Surveillance
  Tung Vuong (University of Helsinki), Giulio Jacucci (University of Helsinki), Tuukka Ruotsalo (University of Helsinki)
• [D2-03] ASTERIX: Ambiguity and Missing Element-Aware XML Keyword Search Engine
  Ba Quan Truong (Nanyang Technological University), Sourav S Bhowmick (Nanyang Technological University), Curtis Dyreson (Utah State University), Hong Jing Khok (Nanyang Technological University)
• [D2-04] Visual Pool: A Tool to Visualize and Interact with the Pooling Method
  Aldo Lipani (Institute of Software Technology and Interactive Systems), Mihai Lupu (Institute of Software Technology and Interactive Systems), Allan Hanbury (Institute of Software Technology and Interactive Systems)
• [D2-05] Event Detection on Curated Tweet Streams
  Nimesh Ghelani (University of Waterloo), Salman Mohammed (University of Waterloo), Shine Wang (University of Waterloo), Jimmy Lin (University of Waterloo)
• [D2-06] A Task-oriented Search Engine for Evidence-based Medicine
  Bevan Koopman (CSIRO), Guido Zuccon (Queensland University of Technology), Jack Russell (CSIRO)
• [D2-07] Social Media Image Recognition for Food Trend Analysis
  Giuseppe Amato (ISTI-CNR), Paolo Bolettieri (ISTI-CNR), Vinicius Monteiro de Lira (ISTI-CNR), Cristina Ioana Muntean (ISTI-CNR), Raffaele Perego (ISTI-CNR), Chiara Renso (ISTI – CNR)
• [D2-08] Computing Web-scale Topic Models using an Asynchronous Parameter Server
  Rolf Jagerman (University of Amsterdam), Carsten Eickhoff (ETH Zürich), Maarten de Rijke (University of Amsterdam)
• [D2-09] Seeing Bot
  Yingwei Pan (University of Science and Technology of China), Zhaofan Qiu (University of Science and Technology of China), Ting Yao (Microsoft Research Asia), Houqiang Li (University of Science and Technology of China), Tao Mei (Microsoft Research Asia)

Special awards session

August 9 (Wednesday) 17:20-18:20, 5F Eminence Hall

Join us for a special awards ceremony celebrating the 40^th anniversary of the ACM SIGIR Conference.  We will recognize papers selected for the ACM SIGIR Test of Time Award from the years 1978-2001, and also present some special awards based on 40 years of the SIGIR Conference. 
SIGIR Forum Special Issue on Test of Time Award from the Years 1978-2001