Poster session:
Monday, August 7, 2006
5:30 – 9:00pm

Presenting a poster? Please read the additional information located here.

Posters

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!

Demos

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.

↑ top