Presenting a poster? Please read the additional information located here.
P1 - Clustering of Search Results using Temporal Attributes
Omar Alonso , Michael Gertz
University of California Davis
P2 - A Complex Document Information Processing Prototype
Shlomo Argamon, Gady Agam, Ophir Frieder, David Grossman, Illinois Institute of Technology
David Lewis, David D. Lewis Consulting
Gene Sohn, Kenneth Voorhees, Clarabridge, Inc.
P3 - Inferring Document Relevance via Average Precision
Javed Aslam, Emine Yilmaz
Northeastern University
P4 - Adaptive Query Based Sampling For Distributed IR
Leif Azzopardi, Mark Baillie, Fabio Crestani
University of Strathclyde
P5 - Integrated search of distributed news archives: The PENG system
Mark Baillie, Fabio Crestani, Monica Landoni, University of Strathclyde
Ophir Frieder, David Grossman, Jefferson Heard, Illinois Institute of Technology
P6 - Examining Assessor Attributes at HARD 2005
Mark Baillie, Ian Ruthven
University of Strathclyde
P7 - Theoretical Benchmarks of XML retrieval
Tobias Blanke, Mounia Lalmas
University of London
P8 - Question Classification with Log-Linear Models
Phil Blunsom, University of Melbourne
James Curran, Krystle Kocik, University of Sydney
P9 - Community-Based Snippet-Indexes for Pseudo-Anonymous Personalization in Web Search
Oisin Boydell, Barry Smyth
University College Dublin
P10 - Term Proximity Scoring for Ad-Hoc Retrieval on Very Large Text Collections
Stefan Büttcher, Charles L. A. Clarke, Brad Lushman
University of Waterloo
P11 - An Exploratory Web Log Study of Multitasking
Nikolai Buzikashvili
Institute of System Analysis
P12 - Tensor Space Model for Document Analysis
Deng Cai, Jiawei Han,
University of Illinois at Urbana Champaign
Xiaofei He, Yahoo!
P13 - First Large-Scale Information Retrieval Experiments on Turkish Texts
Fazli Can, Seyit Kocberber, Erman Balcik, Cihan Kaynak, H. Cagdas Ocalan, Onur M. Vursavas, Bilkent University
P14 - Learning a Ranking from Pairwise Preferences
Ben Carterette, Desislava Petkova
University of Massachusetts
P15 - Using Historical Data to Enhance Rank Aggregation
P Castells, Miriam Fernández, David Vallet
Universidad Autónoma de Madrid
P16 - Interaction Context for Automated QA Performance Assessment
Joyce Chai, Tyler Baldwin, Chen Zhang
Michigan State University
P17 - Stylistic Text Segmentation
Paul Chase, Shlomo Argamon
Illinois Institute of Technology
P18 - Information Retrieval with Commonsense Knowledge
Hsin-Hsi Chen, Ming-Hung Hsu
National Taiwan University
P19 - Rpref - A Generalization of Bpref towards Graded Relevance Judgments
Jan De Beer, Marie-Francine Moens,
Katholieke Universiteit Leuven
Anastasios Tombros, Queen Mary University of London
P20 - Automatic Construction of Known-Item Finding Test Beds
Leif Azzopardi, University of Strathclyde
Maarten de Rijke, University of Amsterdam
P21 - A New Web Page Summarization Method
Qian Diao, Jiulong Shan
Intel
P22 - Enterprise search behaviour of software engineers
Luanne Freund, University of Toronto
Elaine Toms, Dalhousie University
P23 - Evaluating Sources of Query Expansion Terms
Xin Fu, Diane Kelly
University of North Carolina
P24 - Comparing Two Blind Relevance Feedback Techniques
Daqing He, Yefei Peng
University of Pittsburg
P25 - Concept-Based Biomedical Text Retrieval
Jimmy Huang, Ming Zhong
York University
P26 - A Quantative Analysis of the Impact of Judging Inconsistency on the Effectiveness of Relevance Feedback
Xiangyu Jin, Jim French,
University of Virginia
Jonathan Michel, SAIC
P27 - A Graph-based Framework for Relation Propagation and Its Application to to Multi-label Learning
Rong Jin, Ming Wu
Michigan State University
P28 - Swordfish: An Unsupervised Ngram Based Approach to Morphological Analysis
Chris Jordan, John Healy, Vlado Keselj
Dalhousie University
P29 - Authorship Attribution with Thousands of Candidate Authors
Moshe Koppel, Jonathan Schler, Bar Ilan University
Shlomo Argamon, Illinois Institute of Technology
P30 - Simple Questions to Improve Pseudo-Relevance Feedback Results
Giridhar Kumaran, James Allan
University of Massachusetts Amherst
P31 - Refining Hierarchical Taxonomy Structure Via Semi-supervised Learning
Wai Lam, Ruizhang Huang, Zhigang Zhang
The Chinese University of Hong Kong
P32 - Is XML retrieval meaningful to users? Searcher preferences for full documents vs. elements
Birger Larsen,
Royal School of Library & Information Science
Anastasios Tombros, Queen Mary University of London
Saadia Malik, Universität Duisburg-Essen
P33 - Building a Test Collection for Complex Document Information Processing
David Lewis, David D. Lewis Consulting
Gady Agam, Shlomo Argamon, Ophir Frieder, David Grossman, Illinois Institute of Technology
P34 - Enhancing Topic Tracking with Temporal Information
Baoli Li, Wenjie Li, Qin Lu
The Hong Kong Polytechnic University
P35 - Impact of interaction design for search features in digital libraries on user searching experience
Yuelin Li, Xiangmin Zhang, Ying Zhang
Rutgers University
P36 - NMF and PLSI: Equivalence and A Hybrid Algorithm
Tao Li, Chris Ding, Lawrence Berkeley Laboratory
Wei Peng, Florida International University
P37 - Representing Clusters for Retrieval
Xiaoyong Liu, Bruce Croft
University of Massachusetts Amherst
P38 - One-Sided Measures for Evaluating Ranked Retrieval Effectiveness with Spontaneous Conversational
Speech
Baolong Liu, Doug Oard
University of Maryland
P39 - Combining Fields in Known-Item Email Search
Craig Macdonald, Iadh Ounis
University of Glasgow
P40 - Improving QA Retrieval using Document Priors
James Mayfield, Paul McNamee
Johns Hopkins University
P41 - Content-based Video Retrieval: Does Video's Semantic Visual Feature Matter?
Xiangming Mu
University of Wiscionsin-Milwaukee
P42 - Action Modeling: Using Language Models to Predict Query Behavior
G. Craig Murray, Jimmy Lin, University of Maryland
Abdur Chowdhury, AOL
P43 - An analysis of the coupling between training set and neighborhood sizes for the kNN classifier
James Olsson
University of Maryland, College Park
P44 - Fact-Focused Novelty Detection: a Feasibility Study
Jahna Otterbacher, University of Cyprus
Dragomir Radev, University of Michigan
P45 - Unity: Relevance Feedback using User Query Logs
Jignashu Parikh, Shyam Kapur
Yahoo!
P46 - Improving Personalized Web Search using Result Diversification
Filip Radlinski,
Cornell University
Susan Dumais, Microsoft
P47 - Give Me Just One Highly Relevant Document: P-measure
Tetsuya Sakai
Toshiba
P48 - A Method of Rating the Credibility of News Documents on the Web
Yohei Seki, Ryosuke Nagura,
Toyohashi University of Technology
Noriko Kando, Masaki Aono, National Institute of Informatics
P49 - Feature diversity in cluster ensembles for robust document clustering
Xavier Sevillano, Francesc Alías, Joan Claudi Socoró,
Germán Cobo
University Ramon Llull
P50 - Lightening the Load of Document Smoothing for Better Language Modeling Retrieval
Mark Smucker, James Allan
University of Massachusetts Amherst
P51 - The effect of OCR on Stylistic Text Classification
Sterling Stein, Shlomo Argamon, Ophir Frieder
Illinois Institute of Technology
P52 - History Repeats Itself: Log Analysis of Repeat Queries
Jaime Teevan, Massachusetts Institute of Technology
Eytan Adar, University of Washington
Rosie Jones, Michael Potts, Yahoo!
P53 - Early Precision Measures: Implications from the Downside of Blind Feedback
Stephen Tomlinson, Hummingbird
P54 - An Experimental Study on Automatically Labeling Hierarchical Clusters using Statistical Features
Pucktada Treeratpituk, Jamie Callan
Carnegie Mellon University
P55 - Strict and Vague Interpretation of XML-Retrieval Queries
Andrew Trotman,
University of Otago
Mounia Lalmas, Queen Mary, University of London
P56 - Why Structural Hints in Queries do not Help XML Retrieval
Andrew Trotman,
University of Otago
Mounia Lalmas, Queen Mary, University of London
P57 - User Expectations from XML Element Retrieval
Theodora Tsikrika, Queen Mary, University of London
Stamatina Betsi, LogicDIS SA
Mounia Lalmas, Anastasios Tombros, Queen Mary, University of London
P58 - Searching the Web Using Composed Pages
Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li
Florida International University
P59 - Bias and the Limits of Pooling
Ellen Voorhees, Ian Soboroff, Darrin Dimmick, National Institute of Standards and Technology
Chris Buckley, Sabir Research
P60 - Length normalization in XML retrieval: do not ignore the small ones!
Georgina Ramirez, Thijs Westerveld, Arjen de Vries
Center for Mathematics and Computer Science
P61 - A Study of Real-Time Query Expansion Effectiveness
Ryen White, University of Maryland
Gary Marchionini, University of North Carolina
P62 - On Hierarchical Web Catalog Integration with Conceptual Relationships in Thesaurus
Cheng-Zen Yang, Ing-Xiang Chen, Jui-Chi Ho, Yuan Ze University
Gordon Sun, Yahoo!
P63 - Measuring Similarity of Semi-structured Documents with Context Weights
Christopher Yang, Nan Liu, The Chinese University of Hong Kong
P64 - Incorporating Query Difference for Learning Retrieval Functions in Information Retrieval
Hongyuan Zha, Penn State University
Zhaohui Zheng, Haoying Fu, Gordon Sun, Yahoo!
D1 - A Location Annotation System for Personal Photos
Chen Chufeng, Michael Oakes, John Tait
University of Sunderland
D2 - An Expert Search System using the Terrier Platform
Craig Macdonald, Iadh Ounis
University of Glasgow
D3 - DCourse: an Ontology-based Information Access System for e-Learning Environments
Daqing He, Mao Ming, Yefei Peng
University of Pittsburgh
D4 - DeWild: A Tool for Searching the Web Using Wild Cards
Haobin Li, Davood Rafiei
University of Alberta
D5 - The TIJAH XML Information Retrieval System
Henk Ernst Blok, Vojkan Mihajlovic, University of Twente
Georgina Ramirez, Thijs Westerveld, Center for Mathematics and Computer Science
Djoerd Hiemstra, University of Twente
Arjen de Vries, Center for Mathematics and Computer Science
D6 - A Platform for Okapi-Based Contextual Information Retrieval
Jimmy Huang, Miao Wen, Aijun An, Yan-Rui Huang
York University
D7 - Appraisal Expression Finder
Navendu Garg, Kenneth Bloom, Shlomo Argamon
Illinois Institute of Technology
D8 - MathFind: A Math-Aware Search Engine
Rajesh Munavalli, Robert Miner
Design Science, Inc.
D9 - Cheshire3: Retrieving from Tera-Scale Grid-Based Digital Libraries
Ray Larson, University of California-Berkeley
Robert Sanderson, University of Liverpool
D10 - Project Contexts to Situate Personal Information
William Jones, Harry Bruce, Austin Foxley, University of Washington
D11 - Supporting Semantic Visual Feature Browsing in Content-based Video Retrieval
Xiangming Mu
University of Wiscionsin-Milwaukee
Presenting a poster? Please read the additional information located here.
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