Santiago, Chile

August 9-13, 2015

The 38th Annual ACM SIGIR Conference

SIGIR 2015 Technical Track

  • Splitting Water: Precision and Anti-Precision to Reduce Pool Bias
    Lipani Aldo, Lupu Mihai, Allan Hanbury
  • Bayesian Ranker Comparison Based on Historical User Interactions
    Grotov Artem, Shimon Whiteson, Maarten de Rijke
  • User Variability and IR System Evaluation
    Peter Bailey, Alistair Moffat, Falk Scholer, Paul Thomas
  • Unconscious Physiological Effects of Search Latency on Users and Their Click Behaviour
    Miguel Barreda-Ángeles, Ioannis Arapakis, Xiao Bai, B. Barla Cambazoglu, Alexandre Pereda-Baņos
  • Evaluating Streams of Evolving News Events
    Gaurav Baruah, Mark Smucker, Charles Clarke
  • Relevance Scores for Triples from Type-Like Relations
    Hannah Bast, Björn Buchhold, Elmar Haussmann
  • Efficient and Scalable MetaFeature-based Document Classification using Massively Parallel Computing
    Sergio Canuto, Marcos Goncalves, Wisllay Santos, Thierson Rosa, Wellington Martins
  • Differences in the Use of Search Assistance for Tasks of Varying Complexity
    Rob Capra, Jaime Arguello, Anita Crescenzi, Emily Vardell
  • WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation
    Chao Chen, Dongsheng Li, Qin Lv, Li Shang, Yingying Zhao
  • An Eye-Tracking Study of Query Reformulation
    Carsten Eickhoff, Sebastian Dungs, Vu Tran
  • Uncovering Crowdsourced Manipulation of Online Reviews
    Amir Fayazi, Kyumin Lee, James Caverlee, Anna Squicciarini
  • Learning to Extract Local Events from the Web
    John Foley, Michael Bendersky, Vanja Josifovski
  • Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search
    Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Narayan Bhamidipati
  • Islands in the Stream: A Study of Item Recommendation within an Enterprise Social Stream
    Ido Guy, Roy Levin, Tal Daniel, Ella Bolshinsky
  • Learning by Example: training users through high-quality query suggestions
    Morgan Harvey, David Elsweiler, Claudia Hauff
  • 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
  • A Similarity Measure for Weaving Patterns in Textiles
    Sven Helmer, Vuong M. Ngo
  • Retrieval of Relevant Opinion Sentences for New Products
    Dae Hoon Park, Hyun Duk Kim, ChengXiang Zhai, Lifan Guo
  • Listwise Collaborative Filtering
    Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
  • How many results per page? A Study of SERP Size, Search Behavior and User Experience
    Diane Kelly, Leif Azzopardi
  • Optimised Scheduling of Online Experiments
    Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis
  • Predicting Search Intent Based on Pre-search Context
    Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan
  • Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience
    Dmitry Lagun, Eugene Agichtein
  • 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
  • Non-Compositional Term Dependence for Information Retrieval
    Christina Lioma, Jakob Grue Simonsen, Birger Larsen, Niels Dalum Hansen
  • Scientific Information Understanding via Open Educational Resources (OER)
    Xiaozhong Liu, Zhuoren Jiang, Liangcai Gao
  • 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
  • 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
  • Inline Reference Recommendation
    Yuanhua Lv
  • The Benefits of Magnitude Estimation Relevance Assessments for Information Retrieval Evaluation
    Eddy Maddalena, Stefano Mizzaro, Falk Scholer, Andrew Turpin
  • Effective Latent Models for Binary Feedback in Recommender Systems
    Volkovs Maksims, Guang Wei Yu
  • Image-based recommendations on styles and substitutes
    Julian McAuley, Christopher Targett, Qinfeng Shi, Anton van den Hengel
  • On The Relation Between Assessor's Agreement and Accuracy in Gamified Relevance Assessment
    Olga Megorskaya, Vladimir Kukushkin, Pavel Serdyukov
  • Actively Selecting Representative & Informative Queries via Submodular Functions
    Rishabh Mehrotra, Emine Yilmaz
  • Exploring Session Context using Distributed Representations of Queries and Reformulations
    Bhaskar Mitra
  • Dynamic Query Modeling for Related Content Finding
    Daan Odijk, Edgar Meij, Isaac Sijaranamual, Maarten de Rijke
  • A Probabilistic Model for Information Retrieval Based on Maximum Value Distribution
    Jiaul Paik
  • Semi-supervised Hashing with Semantic Confidence for Large Scale Visual Search
    Yingwei Pan, Ting Yao, Houqiang Li, Chong Wah Ngo, Tao Mei
  • Mining, Ranking and Recommending Entity Aspects
    Ridho Reinanda, Edgar Meij, Maarten de Rijke
  • Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes
    Zhaochun Ren, Maarten de Rijke
  • Impact of Surrogate Assessments on High-Recall Retrieval
    Adam Roegiest, Gordon V. Cormack, Charles Clarke, Maura R. Grossman
  • BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification
    Thiago Salles, Marcos Goncalves, Leonardo Rocha, Victor Rodrigues
  • Predicting Search Satisfaction Metrics with Interleaved Comparisons
    Anne Schuth, Katja Hofmann, Filip Radlinski
  • HSpam14: A Collection of 14 Million Tweets for Hashtag-Oriented Spam Research
    Surendra Sedhai, Aixin Sun
  • Learning to rank short text pairs with Convolutional Deep Neural Networks
    Aliaksei Severyn, Alessandro Moschitti
  • From Queries to Cards: Re-ranking proactive card recommendations based on reactive search history
    Milad Shokouhi, Qi Guo
  • Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction
    Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat Seng Chua
  • Personalized Recommendation via Parameter-Free Contextual Bandits
    Liang Tang, Yexi Jiang, Lei Li, Chunqiu Zeng, Tao Li
  • A Random Walk Model for Optimization of Search Impact in Web Frontier Ranking
    Giang Tran, Ata Turk, B. Barla Cambazoglu, Wolfgang Nejdl
  • Local Ranking Problem on the BrowseGraph
    Michele Trevisiol, Luca Maria Aiello, Paolo Boldi, Roi Blanco
  • Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings
    Ivan Vulic, Marie-Francine Moens
  • Incorporating Non-sequential Behavior into Click Models
    Chao Wang, Yiqun Liu, Meng Wang, Ke Zhou, Jian-Yun Nie, Shaoping Ma
  • An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation
    Jingang Wang, Qifan Wang, Dandan Song, Luo Si, Zhiwei Zhang, Lejian Liao
  • Learning Hierarchical Representation Model for Next Basket Recommendation
    Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng
  • Assessor Differences and User Preferences in Tweet Timeline Generation
    Yulu Wang, Garrick Sherman, Jimmy Lin, Miles Efron
  • High Quality for SimRank-Based Similarity Search
    Yu Weiren
  • Personalizing Search on Shared Devices
    Ryen White, Ahmed Hassan
  • Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures
    Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng
  • 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
  • Parametric and Non-parametric User-aware Sentiment Topic Models
    Zaihan Yang, Alexander Kotov, Aravind Mohan, Shiyong Lu
  • Optimal Aggregation Policy for Reducing Tail Latency of Web Search
    Jeong-Min Yun, Yuxiong He, Sameh Elnikety, Shaolei Ren
  • Influence of Vertical Result in Web Search Examination
    Liu Zeyang, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma
  • 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
  • GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations
    Jia-Dong Zhang, Chi-Yin Chow
  • Information Retrieval as Card Playing: A Formal Model for Optimizing Interactive Retrieval Interface
    Yinan Zhang, ChengXiang Zhai
  • Learning to Reweight Terms with Distributional Representations
    Guoqing Zheng, Jamie Callan
  • Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data
    Nikita Zhiltsov, Alexander Kotov, Fedor Nikolaev

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