August 7

Keynote: 9:00–10:00 AM

SIGIR Salton award lecture - 120 Kane Hall

Session 1: 10:30AM–12:00PM

User behavior & modelling - 120 kane hall

Learning User Interaction Models for Predicting Web Search Result Preferences
Eugene Agichtein, Eric Brill, Susan Dumais, Robert Ragno
Microsoft Research

User Performance versus Precision Measures for Simple Search Tasks
Andrew Turpin, Falk Scholer
RMIT University

Improving Web Search Ranking by Incorporating User Behavior
Eugene Agichtein, Eric Brill, Susan Dumais
Microsoft Research

Handling messages and finding experts - 110 kane hall

Contextual Search and Disambiguation in Email Using Graphs
Einat Minkov, William Cohen, Carnegie Mellon University
Andrew Ng, Stanford University

Thread Detection in Dynamic Text Message Streams
Dou Shen, Qiang Yang, Hong Kong University of Science and Technology
Jian-Tao Sun, Zheng Chen, Microsoft Research Asia

Formal Models for Expert Finding in Enterprise Corpora
Krisztian Balog, University of Amsterdam
Leif Azzopardi, University of Strathclyde
Maarten de Rijke, University of Amsterdam

Speech and Music - 220 kane hall

Spoken Document Retrieval from Call Center Conversations
Jonathan Mamou, David Carmel, Ron Hoory
IBM Research Lab

Towards Efficient Automated Singer Identification in Large Music Databases
Jialie Shen, University of New South Wales
Bin Cui, National University of Singapore
John Shepherd, University of New South Wales
KianLee Tan, National University of Singapore

Music structure analysis and a vector space modeling approach for content indexing and retrieval
Namunu Maddage, Haizhou Li, Institute for Infocomm Research, Singapore
Mohan Kankanhalli, National University of Singapore

Session 2: 1:30–3:00PM

Web1-Exploiting graph structure - 110 kane hall

AggregateRank: Bring Order to Web Sites
Tie-Yan Liu, Microsoft Research Asia
Ying Wang, Chinese Academy of Science
Guang Feng, Tsinghua University
Ying Bao, Zhiming Ma, Chinese Academy of Science

Respect my authority! HITS Without Hyperlinks, Utilizing Cluster-Based Language Models
Oren Kurland, Lillian Lee
Cornell University

Topical Link Analysis for Web Search
Lan Nie, Brian D. Davison, Xiaoguang Qi
Lehigh University

Semantics - 120 kane hall

Role of Knowledge in Conceptual Retrieval: A Study in the Domain of Clinical Medicine
Jimmy Lin, Dina Demner-Fushman
University of Maryland

Parallel Derivation of Probabilistic Information Retrieval Models
Thomas Roelleke, Jun Wang
Queen Mary University

Semantic Term Matching in Axiomatic Approaches to Information Retrieval
Hui Fang, Cheng-Xiang Zhai
University of Illinois at Urbana-Champaign

Fusion & Spam - 220 kane hall

Online Spam Filter Fusion
Thomas Lynam, Gordon Cormack
University of Waterloo

Building Bridges for Web Query Classification
Dou Shen, Hong Kong University of Science and Technology
Sun Jian-Tao, Microsoft
Qiang Yang, Hong Kong University of Science and Technology
Zheng Chen, Microsoft Research Asia

ProbFuse: A Probabilistic Approach to Data Fusion
David Lillis, Fergus Toolan, Rem Collier
University College Dublin

Session 3: 3:30–5:00PM

Relevance feedback - 110 kane hall

Using Web-Graph Distance for Relevance Feedback in Web Search
Sergei Vassilvitskii, Stanford University
Eric Brill, Microsoft

Improving the Estimation of Relevance Models Using Large External Corpora
Fernando Diaz, Donald Metzler
University of Massachusetts Amherst

Regularized Estimation of Mixture Models for Robust Pseudo-Relevance Feedback
Tao Tao, ChengXiang Zhai
University of Illinois at Urbana-Champaign

Formal models - 120 kane hall

Context-Sensitive Semantic Smoothing for the Language Modeling Approach to Genomic IR
Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Xia Lin, Il-Yeol Song
Drexel University

LDA-Based Document Models for Adhoc Retrieval
Xing Wei, Bruce Croft
University of Massachusetts Amherst

Adapting Ranking SVM to Document Retrieval
Yunbo Cao, Microsoft Research Asia
Jun Xu, Nankai University
Tie-Yan Liu, Hang Li, Microsoft Research Asia
Yalou Huang, Nankai University
Hsiao-Wuen Hon, Microsoft Research Asia

Cross Language - 220 kane hall

A Study of Statistical Models for Query Translation: Finding a Good Unit of Translation
Jianfeng Gao, Microsoft
Jian-Yun Nie, University of Montreal

Combining Bidirectional Translation and Synonymy for Cross-Language Information Retrieval
Jianqiang Wang, Douglas Oard
Umiversity of Maryland

August 8

Keynote: 9:00-10:00 AM

Social networks, Incentives, and Search - 120 kane hall

Jon kleinberg

Session 1: 10:30AM–12:30PM

Question & Answering - 120 kane hall

Probabilistic Model for Definitional Question Answering
Kyoung-Soo Han, Young-In Song, Hae-Chang Rim
Korea University

Answering Complex Questions with Random Walk Models
Sanda Harabagiu, Finley Lacatusu, Andrew Hickl
Language Computer Corporation

A Framework to Predict the Quality of Answers with Non-Textual Features
Jiwoon Jeon, Bruce Croft, Soyeon Park, JoonHo Lee
University of Massachusetts Amherst

Machine learning - 210 kane hall

Latent Semantic Analysis for Multiple-Type Interrelated Data Objects
Xuanhui Wang, University of Illinois at Urbana-Champaign
Jian-Tao Sun, Zheng Chen, Microsoft
ChengXiang Zhai, University of Illinois at Urbana-Champaign

Identifying Comparative Sentences in Text Documents
Nitin Jindal, Bing Liu
University of Illinois at Chicago

Tackling Concept Drift by Temporal Inductive Transfer
George Forman
Hewlett-Packard Labs

Evaluation 1-User models & test collections - 220 kane hall

Evaluation in (XML) Information Retrieval: Expected Precision-Recall with User Modelling (EPRUM)
Benjamin Piwowarski, Georges Dupret
Yahoo! Research

Minimal Test Collections for Retrieval Evaluation
Ben Carterette, James Allan, Ramesh Sitaraman
University of Massachusetts Amherst

Dynamic Test Collections: Measuring Search Effectiveness on the Live Web
Ian Soboroff
National Institute of Standards and Technology

Session 2: 2:30PM–4:30PM

Web 2 - 120 kane hall

Finding Near-Duplicate Web Pages: A Large-Scale Evaluation of Algorithms
Monika Henzinger
Google and Ecole Federale de Lausanne (EPFL)

Structure-Driven Crawler Generation by Example
Altigran Silva, Marcio Vidal, Edleno Moura, João Cavalcanti
Federal University of Amazonas

Forum Search: Build Implicit Links from Content
Gu Xu, Wei-Ying Ma

Generalizing PageRank: Damping Functions for Link-Based Ranking Algorithms
Carlos Castillo, Università di Roma "La Sapienza"
Ricardo Baeza-Yates, Yahoo! Research
Paolo Boldi, Università di Milano

Distributed IR - 210 kane hall

Capturing Collection Size for Distributed Non-Cooperative Retrieval
Milad Shokouhi, Justin Zobel, Falk Scholer, S.M.M Tahaghoghi
RMIT University

Probabilistic Latent Query Analysis for Combining Multiple Retrieval Sources
Rong Yan, Alexander Hauptmann
Carnegie Mellon University

User Modeling for Full-Text Federated Search in Peer-to-Peer Networks
Jie Lu, Jamie Callan
Carnegie Mellon University

Distributed Query Sampling: A Quality-Conscious Approach
James Caverlee, Ling Liu, Joonsoo Bae
Georgia Institute of Technology

Efficiency - 220 kane hall

Load Balancing for Term-Distributed Parallel Retrieval
Alistair Moffat, William Webber, Justin Zobel
University of Melbourne

Hybrid Index Maintenance for Growing Text Collections
Stefan Büttcher, Charles L. A. Clarke, Brad Lushman
University of Waterloo

Type Less, Find More: Fast Autocompletion Search with a Succinct Index
Holger Bast, Ingmar Weber
Max-Planck-Institute for Informatics

Pruned Query Evaluation using Pre-Computed Impacts
Alistair Moffat, Vo Anh
University of Melbourne

August 9

Keynote: 9:00 - 10:00 AM

Information access in the extended Boeing enterprise - 120 Kane Hall

Radha Radhakrishnan

Session 1: 10:30AM–12:00PM

Queries - 120 kane hall

Mining Dependency Relations for Query Expansion in Passage Retrieval
Renxu Sun, Chai Huat, Tommy Ong, Tat Seng Chua
National University of Singapore

What makes a query difficult?
David Carmel, Elad Yom-Tov, Adam Darlow, Dan Pelleg
IBM Research Lab

On Ranking the Effectiveness of Searches
Vishwa Vinay, Ingemar Cox, University College London
Natasa Milic-Frayling, Ken Wood, Microsoft

Clustering - 210 kane hall

Document Clustering with Prior Knowledge
Xiang Ji, Yahoo!
Wei Xu, Shenghuo Zhu, NEC Labs America

Text Clustering with Extended User Feedback
Yifen Huang, Tom Mitchell
Carnegie Mellon University

Near-Duplicate Detection by Instance-level Constrained Clustering
Hui Yang, Jamie Callan
Carnegie Mellon University

the first page of results - 220 kane hall

Less is More: Probabilistic Models for Retrieving Fewer Relevant Documents
Harr Chen, David Karger
Massachusetts Institute of Technology

High Accuracy Retrieval with Multiple Nested Ranker
Irina Matveeva, University of Chicago
Chris Burges, Timo Burkard, Andy Laucius, Leon Wong, Microsoft

Semantic Search via XML Fragments: A High-Precision Approach to IR
Jennifer Chu-Carroll, John Prager, IBM T.J. Watson Research Center
Krzysztof Czuba, Google
David Ferrucci, Pablo Duboue, IBM T.J. Watson Research Center

Session 2: 1:30–3:00PM

Users: clarification, feedback, and browsing - 120 kane hall

Elicitation of Term Relevance Feedback: An Investigation of Term Source and Context
Diane Kelly, Xin Fu,
University of North Carolina

Find-Similar: Similarity Browsing as a Search Tool
Mark Smucker James Allan
University of Massachusetts Amherst

Exploring the Limits of SingleIteration Clarification Dialogs
Jimmy Lin, Philip Wu, Dina Demner-Fushman, Eileen Abels
University of Maryland

Classification and Machine learning - 210 kane hall

Large Scale Semi-supervised Linear SVMs
Vikas Sindhwani, University of Chicago
Sathiya Keerthi, Yahoo!

Graph-based Text Classification: Learn from Your Neighbors
Ralitsa Angelova, Gerhard Weikum
Max Planck Institute for Informatics

Constructing Informative Prior Distributions from Domain Knowledge in Text Classification
Aynur Dayanik, Rutgers University
David Lewis, David D. Lewis Consulting
David Madigan, Vladimir Menkov, Alex Genkin, Rutgers University

Recommendation: Use and Abuse - 220 kane hall

Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion
Jun Wang, Arjen de Vries, Marcel Reinders
Delft University of Technology

Personalized Recommendation Driven by Information Flow
Xiaodan Song, University of Washington
Belle L. Tseng, NEC Labs America
Ching-Yung Lin, Ming-Ting Sun, University of Washington

Analysis of a Low-Dimensional Linear Model Under Recommendation Attacks
Sheng Zhang, Yi Ouyang, James Ford, Fillia Makedon
Dartmouth College

Session 3 3:30–5:00PM

Evaluation 2 - 210 kane hall

Evaluating Evaluation Metrics based on the Bootstrap
Tetsuya Sakai

Statistical Precision of Information Retrieval Evaluation
Gordon Cormack, Thomas Lynam
University of Waterloo

Statistical Method for System Evaluation Using Incomplete Judgments
Javed Aslam, Virgil Pavlu, Emine Yilmaz
Northeastern University

Web IR: Current topics - 120 kane hall

Learning to Advertise
Anísio Lacerda, Marco Cristo, Marcos Gonçalves, Federal University of Minas Gerais
Weiguo Fan, Virginia Polytechnic Institute and State University
Nivio Ziviani, Federal University of Minas Gerais

Getting Work Done on the Web: Supporting Transactional Queries
Yunyao Li, University of Michigan
Rajasekar Krishnamurthy, Shivakumar Vaithyanathan, IBM
H.V. Jagadish, University of Michigan

You Are What You Say: Privacy Risks of Public Mentions
Daniel Frankowski, Dan Cosley, Shilad Sen, Loren G. Terveen, John Riedl
University of Minnesota

Summarization: multidocuments and new applications - 220 kane hall

A Compositional Context Sensitive Multidocument Summarizer
Ani Nenkova, Stanford University
Lucy Vanderwende, Microsoft
Kathleen McKeown, Columbia University

Information Graphics: An Untapped Resource for Digital Libraries
Sandra Carberry, University of Delaware
Stephanie Elzer, Millersville University
Seniz Demir, University of Delaware

News to Go: Hierarchical Text Summarization for Mobile Devices
Jahna Otterbacher, University of Cyprus
Dragomir Radev, Omer Kareem, University of Michigan

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