Detailed Program

SIGIR 2015 Program

Time	Sunday		Monday	Tuesday	Wednesday		Thursday
08:00			Registration
08:30	Registration			Registration			Registration
09:00	Tutorials (morning)	Doctoral consortium (morning)	Opening	Technical session 4	Registration		Workshops session 1
09:30			Salton award keynote Chair: Charlie Clarke University of Waterloo		Keynote: Chengxiang Zhai Chair: Ricardo Baeza-Yates Yahoo Labs
10:00
10:30	Coffee break		Coffee break	Coffee break	Coffee break		Coffee break
11:00	Tutorials (morning)		Technical session 1	Technical session 5	Technical session 7	Industry session 1	Workshops session 2
11:30
12:00
12:30	Lunch		Student lunch (by invitation)	Lunch	SIGIR Business meeting		Lunch
13:00
13:30
14:00
14:30	Tutorials (afternoon)	Doctoral consortium (afternoon)	Technical session 2	Technical session 6	Technical session 8	Industry session 2	Workshops session 3
15:00
15:30
16:00	Coffee break		Coffee break	Coffee break	Coffee break		Coffee break
16:30	Tutorials (afternoon)		Technical session 3	Posters & demo session	Technical session 9	Industry session 3	Workshops session 4
17:00
17:30						Panel: Having impact on industry from academia
18:00	Reception
18:30
19:00
19:30
20:00				Banquet	Tutorials: 6 in parallel, Technical: 3 in parallel, Workshops: 7 in parallel

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Technical sessions

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Monday morning

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Assisting the search

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• Exploring Session Context using Distributed Representations of Queries and Reformulations
  Bhaskar Mitra
  
• An Eye-Tracking Study of Query Reformulation
  Carsten Eickhoff, Sebastian Dungs, Vu Tran
  
• Differences in the Use of Search Assistance for Tasks of Varying Complexity
  Rob Capra, Jaime Arguello, Anita Crescenzi, Emily Vardell
  

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Multimedia

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• Dynamic Query Modeling for Related Content Finding
  Daan Odijk, Edgar Meij, Isaac Sijaranamual, Maarten de Rijke
  
• Image-based recommendations on styles and substitutes
  Julian McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel
  
• Semi-supervised Hashing with Semantic Confidence for Large Scale Visual Search
  Yingwei Pan, Ting Yao, Houqiang Li, Chong Wah Ngo, Tao Mei
  

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Efficient algorithms

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• Optimal Aggregation Policy for Reducing Tail Latency of Web Search
  Jeong-Min Yun, Yuxiong He, Sameh Elnikety, Shaolei Ren
  
• QuickScorer: a Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees
  Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
  
• High Quality for SimRank-Based Similarity Search
  Yu Weiren
  

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Monday afternoon

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Diversity and bias

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• Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes
  Zhaochun Ren, Maarten de Rijke
  
• Splitting Water: Precision and Anti-Precision to Reduce Pool Bias
  Lipani Aldo, Lupu Mihai, Allan Hanbury
  
• Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures
  Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
  

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Queries

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• Analyzing User s Sequential Behavior in Query Auto-Completion via Markov Processes
  Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates
  
• Learning by Example: training users through high-quality query suggestions
  Morgan Harvey, David Elsweiler, Claudia Hauff
  
• adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback
  Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han
  

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Graphs

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• A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking
  Giang Tran, Ata Turk, B. Barla Cambazoglu, Wolfgang Nejdl
  
• A Similarity Measure for Weaving Patterns in Textiles
  Sven Helmer, Vuong M. Ngo
  
• Local Ranking Problem on the BrowseGraph
  Michele Trevisiol, Luca Maria Aiello, Paolo Boldi, Roi Blanco
  

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Monday late afternoon

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Search experience

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• How many results per page? A Study of SERP Size, Search Behavior and User Experience
  Diane Kelly, Leif Azzopardi
  
• Influence of Vertical Result in Web Search Examination
  Liu Zeyang, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma
  
• Unconscious Physiological Effects of Search Latency on Users and Their Click Behaviour
  Miguel Barreda- ngeles, Ioannis Arapakis, Xiao Bai, B. Barla Cambazoglu, Alexandre Pereda-Ba os
  

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Social Media

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• Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction
  Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat Seng Chua
  
• HSpam14: A Collection of 14 Million Tweets for Hashtag-Oriented Spam Research
  Surendra Sedhai, Aixin Sun
  
• Uncovering Crowdsourced Manipulation of Online Reviews
  Amir Fayazi, Kyumin Lee, James Caverlee, Anna Squicciarini
  

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Entities

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• Relevance Scores for Triples from Type-Like Relations
  Hannah Bast, Bj rn Buchhold, Elmar Haussmann
  
• Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data
  Nikita Zhiltsov, Alexander Kotov, Fedor Nikolaev
  
• Mining, Ranking and Recommending Entity Aspects
  Ridho Reinanda, Edgar Meij, Maarten de Rijke
  

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Tuesday early morning

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User models

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• Bayesian Ranker Comparison Based on Historical User Interactions
  Grotov Artem, Shimon Whiteson, Maarten de Rijke
  
• Incorporating Non-sequential Behavior into Click Models
  Chao Wang, Yiqun Liu, Meng Wang, Ke Zhou, Jian-Yun Nie, Shaoping Ma
  
• Untangling Result List Refinement and Ranking Quality: A Model for Evaluation and Prediction
  Jiyin He, Marc Bron, Arjen de Vries, Leif Azzopardi, Maarten de Rijke
  

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Recommending

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• WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation
  Chao Chen, Dongsheng Li, Qin Lv, Li Shang, Yingying Zhao
  
• Effective Latent Models for Binary Feedback in Recommender Systems
  Volkovs Maksims, Guang Wei Yu
  
• Personalized Recommendation via Parameter-Free Contextual Bandits
  Liang Tang, Yexi Jiang, Lei Li, Chunqiu Zeng, Tao Li
  

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Classifying & ranking

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• Efficient and Scalable MetaFeature-based Document Classification using Massively Parallel Computing
  Sergio Canuto, Marcos Goncalves, Wisllay Santos, Thierson Rosa, Wellington Martins
  
• Listwise Collaborative Filtering
  Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
  
• BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification
  Thiago Salles, Marcos Goncalves, Leonardo Rocha, Victor Rodrigues
  

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Tuesday morning

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Deep learning

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• Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings
  Ivan Vulic, Marie-Francine Moens
  
• Learning to rank short text pairs with Convolutional Deep Neural Networks
  Aliaksei Severyn, Alessandro Moschitti
  
• Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search
  Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Narayan Bhamidipati
  

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Products

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• Retrieval of Relevant Opinion Sentences for New Products
  Dae Hoon Park, Hyun Duk Kim, ChengXiang Zhai, Lifan Guo
  
• Learning Hierarchical Representation Model for Next Basket Recommendation
  Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng
  
• Parametric and Non-parametric User-aware Sentiment Topic Models
  Zaihan Yang, Alexander Kotov, Aravind Mohan, Shiyong Lu
  

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Locations

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• Learning to Extract Local Events from the Web
  John Foley, Michael Bendersky, Vanja Josifovski
  
• Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation
  Li Xutao, Gao Cong, Xiaoli Li, Pham Nguyen Tuan Anh Anh, Shonali Krishnaswamy
  
• GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations
  Jia-Dong Zhang, Chi-Yin Chow
  

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Tuesday afternoon

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Experiment design

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• Optimised Scheduling of Online Experiments
  Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
  
• Predicting Search Satisfaction Metrics with Interleaved Comparisons
  Anne Schuth, Katja Hofmann, Filip Radlinski
  
• Sequential Testing for Early Stopping of Online Experiments
  Eugene Kharitonov, Aleksandr Vorobev, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
  

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Predicting

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• Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience
  Dmitry Lagun, Eugene Agichtein
  
• Different users, Different Opinions: Predicting Search Satisfaction with Mouse Movement Information
  Yiqun Liu, Ye Chen, Jinhui Tang, Jiashen Sun, Min Zhang, Shaoping Ma, Xuan Zhu
  
• Predicting Search Intent Based on Pre-search Context
  Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan
  

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Tasks and devices

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• Leveraging Procedural Knowledge Base for Task-oriented Search
  Zi Yang
  
• Personalizing Search on Shared Devices
  Ryen White, Ahmed Hassan
  
• Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval
  Dae Hoon Park, Mengwen Liu, ChengXiang Zhai, Haohong Wang
  

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Wednesday morning

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SIRIP: E-Commerce

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• Finding Money in the Haystack: Information Retrieval at Bloomberg
  Jonathan Dorando (Bloomberg)
  
• WeChat Search & Headline: Tencent & Sogou Join Forces on Mobile Search and the Challenges We Face
  Chao Liu (Sogou)
  
• Structure, Personalization, Scale: A Deep Dive into LinkedIn Search
  Asif Makhani (LinkedIn)
  
• Bringing Order to the Job Market: Efficient Job Offer Categorization in E-Recruitment
  Emmanuel Malherbe (Multiposting), Mario Cataldi (Universit Paris 8), and Andrea Ballatore (University of California, Santa Barbara)
  
• Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences
  Julia Kiseleva (Eindhoven University of Technology), Melanie Mueller (Booking.com), Lucas Bernardi (Booking.com), Chad Davis (Booking.com), Ivan Kovacek (Booking.com), Mats Stafseng Einarsen (Booking.com), Jaap Kamps (University of Amsterdam), Alexander Tuzhilin (New York University), and Djoerd Hiemstra (University of Twente)
  

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Assessing

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• Actively Selecting Representative & Informative Queries via Submodular Functions
  Rishabh Mehrotra, Emine Yilmaz
  
• Impact of Surrogate Assessments on High-Recall Retrieval
  Adam Roegiest, Gordon V. Cormack, Charles Clarke, Maura R. Grossman
  
• The Benefits of Magnitude Estimation for Relevance Assessment
  Eddy Maddalena, Stefano Mizzaro, Falk Scholer, Andrew Turpin
  

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Terms

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• Learning to Reweight Terms with Distributional Representations
  Guoqing Zheng, Jamie Callan
  
• A Probabilistic Model for Information Retrieval Based on Maximum Value Distribution
  Jiaul Paik
  
• Non-Compositional Term Dependence for Information Retrieval
  Christina Lioma, Jakob Grue Simonsen, Birger Larsen, Niels Dalum Hansen
  

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Wednesday afternoon

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SIRIP: Evaluation

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• Location in Commercial Search Engines
  Vanessa Murdock (Microsoft)
  
• From Web Search Relevance to Vertical Search Relevance
  Yi Chang (Yahoo Labs)
  
• Challenges and Opportunities in Online Evaluation of Search Engines
  Pavel Serdyukov (Yandex)
  
• Incremental Sampling in Query Logs
  Ricardo Baeza-Yates (Yahoo Labs)
  
• Practical Lessons for Gathering Quality Labels at Scale
  Omar Alonso (Microsoft)
  

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Variability in test collections

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• On The Relation Between Assessor s Agreement and Accuracy in Gamified Relevance Assessment
  Olga Megorskaya, Vladimir Kukushkin, Pavel Serdyukov
  
• Assessor Differences and User Preferences in Tweet Timeline Generation
  Yulu Wang, Garrick Sherman, Jimmy Lin, Miles Efron
  
• User Variability and IR System Evaluation
  Peter Bailey, Alistair Moffat, Falk Scholer, Paul Thomas
  

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Citations

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• An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation
  Jingang Wang, Qifan Wang, Dandan Song, Luo Si, Zhiwei Zhang, Lejian Liao
  
• Scientific Information Understanding via Open Educational Resources (OER)
  Xiaozhong Liu, Zhuoren Jiang, Liangcai Gao
  
• Inline Reference Recommendation
  Yuanhua Lv
  

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Wednesday late afternoon

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SIRIP: Miscelaneous and Panel

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• Lower Search Cos
  Dou Shen (Baidu)
  
• If SIGIR had an Academic Track, what would be in it?
  David Hawking (Microsoft)
  
• Panel: Having impact on industry from academia
  Moderator: Jimmy Lin (University of Waterloo, Canada)
  Panelists:
  -Brian Davison(Lehigh University, USA)
  -David Hawking(Microsoft, Australia)
  -Craig Macdonald(Universityof Glasgow, UK)
  -BarbaraPoblete (Universityof Chile, Chile)
  -Arjende Vries(CWI, TheNetherlands)
  

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Streams

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• Islands in the Stream: A Study of Item Recommendation within an Enterprise Social Stream
  Ido Guy, Roy Levin, Tal Daniel, Ella Bolshinsky
  
• Evaluating Streams of Evolving News Events
  Gaurav Baruah, Mark Smucker, Charles Clarke
  

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Cards

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• Information Retrieval as Card Playing: A Formal Model for Optimizing Interactive Retrieval Interface
  Yinan Zhang, ChengXiang Zhai
  
• From Queries to Cards: Re-ranking proactive card recommendations based on reactive search history
  Milad Shokouhi, Qi Guo
  

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Call for Papers

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• Full Papers
• Short Papers
• Tutorials
• Doctoral Consortium
• Workshops
• Industrial Track
• Demonstrations