Program at a Glance

Sunday, August 6
10:00-18:00 Registration (43F Orion)
 
Monday, August 7
8:30-20:00 Registration (43F Orion/just outside Orion)
9:00-10:30 Tutorials

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

10:55-12:20 Doctoral consortium session 2 (42F Tsukui)
12:20-14:00 Lunch break 12:20-13:50 Lunch break and networking
14:00-15:30 Tutorials

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

18:00-19:00 Women in IR (42F Takao)
19:00-21:00 Welcome reception (43F Starlight/Moonlight/Comet/Subaru/Orion)
 
Tuesday, August 8
8:20-16:30 Registration (5F Eminence Hall/Concord 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
12:40-14:20 Lunch break
Students’ Luncheon (Students and invitation only, 5F Eminence Hall)
14:20-16:10 Poster and demo session 1 (43F Comet/Moonlight/Starlight/Subaru)
16:10-17:50
19:00- Students’ Get-Together (Universal City)
 
Wednesday, August 9
8:00-17:00 Registration (5F Concord 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
12:10-13:50 Lunch break
Diversity & Inclusion Luncheon (5F Concord Ballroom B)
13:50-15:40 Poster and demo session 2 (43F Comet/Moonlight/Starlight/Subaru)
15:40-17:20
17:20-18:20 Special awards session (5F Concord Ballroom A)
20:00-22:00 Banquet (Hotel Chinzanso Tokyo)
 
Thursday, August 10
8:00-15:00 Registration
8:20-15:00 Supporters’ exhibitions (5F Concord Ballroom B/Concord Foyer)
8:40-9:00 Announcement (5F Concord Ballroom A)
9:00-10:40
10:40-11:10 Coffee break (5F Concord Ballroom B/Concord Foyer)
11:10-12:30
12:30-14:30 Lunch break
SIGIR business meeting (5F Concord Ballroom A)
14:30-15:50
15:50-16:20 Closing (5F Concord Ballroom A)
SIRIP coffee break (42F Fuji)
16:20-17:40 SIRIP 3: Research at Large-scale Search Engines (42F Fuji)
 
Friday, August 11
9:00-10:30
10:30-10:50 Coffee break (42F Sagami/43F Subaru)
10:50-12:20
12:20-14:00 Lunch break
14:00-15:30
15:30-15:50 Coffee break (42F Sagami/43F Subaru)
15:50-17:20

Full papers

Session 1A: Evaluation 1

August 8 (Tuesday) 11:00-12:40, 5F Concord Ballroom A
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, 42F Fuji
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 Concord Ballroom A
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, 42F Fuji
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 Concord Ballroom A
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, 42F Fuji
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 Concord Ballroom A
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)
  • 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, 42F Fuji
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 Concord Ballroom A
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, 42F Fuji
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 Concord Ballroom A
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 Concord Ballroom A
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

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

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)
  • [S2-07] Skill Translation Models in Expert Finding
    Arash Dargahi Nobari (Shahid Beheshti University:G.C), Sajad Sotudeh Gharebagh (Shahid Beheshti University:G.C), Mahmood Neshati (Shahid Beheshti University:G.C)
  • [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] Semantically Enriched Markov Random Field 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 Concord Ballroom A

Join us for a special awards ceremony celebrating the 40th 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.