Location: Microsoft Research, Cambridge, UK
Date: 10-12 September 2009
Conference Programme
September 10, Thursday
9:00am - 9:15am Welcome address
9:15am-10:15am Keynote
Session chair: Keith van Rijsbergen
Is There Something Quantum-Like about the Human Mental Lexicon?
Peter Bruza
10:15am-10:45am Coffee break
10:45am - 12:00pm Regular Paper Session 1: Efficiency
Session chair: Nick Craswell
Probably Approximately Correct Search
Ingemar Cox, Ruoxun Fu, and Lars Kai Hansen
PageRank: Splitting Homogeneous Singular Linear Systems of Index One
Douglas de Jager and Jeremy T. Bradley
Training Data Cleaning for Text Classification
Andrea Esuli and Fabrizio Sebastiani
12:00pm - 2:00pm Lunch and Poster Session
2.00pm - 3.40pm Regular Paper Session 2: Models
Session chair: Norbert Fuhr
Semi-Parametric and Non-parametric Term Weighting for Information Retrieval
Donald Metzler and Hugo Zaragoza
Bridging Language Modeling and Divergence from Randomness Approaches: A Log-Logistic Model for IR
Stéphane Clinchant and Eric Gaussier
Ordinal Regression Based Model for Personalized Information Retrieval
Mohamed Farah
Navigating in the dark: Modeling Uncertainty in Ad Hoc Retrieval using Multiple Relevance Models
Natali Soskin, Oren Kurland, and Carmel Domshlak
3:40pm - 4:10pm Coffee Break
4:10pm - 5:50pm Regular Paper Session 3: Query / Term Selection
Session chair: Benjamin Piwowarski
A Belief Model of Query Difficulty that uses Subjective Logic
Christina Lioma, Roi Blanco, Raquel Mochales Palau, and Marie-Francine Moens
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Raghavendra Udupa, Abhijit Bhole, and Pushpak Bhattacharya
An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
Eduard Hoenkamp, Peter Bruza, Dawei Song, and Qiang Huang
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
Dell Zhang, Jinsong Lu, Robert Mao, and Jian-Yun Nie
7:00pm - 10:30pm Banquet Dinner at Magdalene College Hall
September 11, Friday
9:00am - 10:20am Short Paper Parallel Session 1a: New Perspectives for IR (Large Lecture Hall)
Session chair: Ben Carterette
A Quantum-Based Model for Interactive Information Retrieval
Benjamin Piwowarski and Mounia Lalmas
The Quantum Probability Ranking Principle for Information Retrieval
Guido Zuccon, Leif A. Azzopardi, and Keith van Rijsbergen
Written Texts as Statistical Mechanical Problem
Kostadin Koroutchev, Elka Korutcheva, and Jian Shen
What Happened to Content-Based Information Filtering?
Nikolaos Nanas, Anne De Roeck , and Manolis Vavalis
9:00am - 10:20am Short Paper Parallel Session 1b: Models (Small Lecture Hall)
Session chair: Hugo Zaragoza
Prior information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
Corrado Boscarino and Arjen P. de Vries
Robust Word Similarity Estimation using Perturbation Kernels
Kevyn Collins-Thompson
Possibilistic Similarity Estimation and Visualization
Anas Dahabiah, John Puentes, and Basel Solaiman
A New Measure of the Cluster Hypothesis
Mark D. Smucker and James Allan
10:20am - 10:50am Coffee break
10:50am - 11:50am Short Paper Parallel Session 2a: User Aspects (Large Lecture Hall)
Session chair: Emine Yilmaz
Explaining User Performance in Information Retrieval: Challenges to IR evaluation
Kalervo Järvelin
A Four-factor User Interaction Model for Content-Based Image Retrieval
Haiming Liu, Victoria Uren, Dawei Song and Stefan Rüger
Predicting Query Performance by Query-Drift Estimation
Anna Shtok, Oren Kurland, and David Carmel
10:50am - 11:50am Short Paper Parallel Session 2b: Models / WebIR (Small Lecture Hall)
Session chair: Milad Shokouhi
What's in a Link? From Document Importance to Topical Relevance
Marijn Koolen and Jaap Kamps
Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links
M. Eduardo Ares, Javier Parapar, and Álvaro Barreiro
Optimizing WebPage Interest
Willem Elbers and Theo van der Weide
12.00pm - 2:00pm Lunch and Poster Session
2:00pm - 3:40pm Regular Paper Session 4: Evaluation
Session chair: Stephen Robertson
Score Distributions in Information Retrieval
Avi Arampatzis, Stephen Robertson, and Jaap Kamps
Modeling the Score Distributions of Relevant and Non-relevant Documents
Evangelos Kanoulas, Virgil Pavlu, Keshi Dai, and Javed Aslam
Modeling Expected Utility of Multi-session Information Distillation
Yiming Yang and Abhimanyu Lad
Specificity Aboutness in XML Retrieval
Tobias Blanke and Mounia Lalmas
3:40pm - 4:10pm Coffee break
4:10pm - 5.25pm Regular Paper Session 5: Novelty and Diversity
Session chair: Mark D. Smucker
An Effectiveness Measure for Ambiguous and Underspecified Queries
Charles L.A. Clarke, Maheedhar Kolla, and Olga Vechtomova
An Analysis of NP-Completeness in Novelty and Diversity Ranking
Ben Carterette
From "Identical" to "Similar": Fusing Retrieved Lists based on Inter-document Similarities
Anna Khudyak Kozorovitzky and Oren Kurland
5:30pm Conference close
Posters
September 10, Thursday, 12-2pm
Atrium
- The "Beautiful" in Information: Philosophy of Aesthetics and Information Visualization
Gerald Benoit
- IR Evaluation without a Common Set of Topics
Matteo Cattelan and Stefano Mizzaro
- An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification
Jean-Cédric Chappelier and Emmanuel Eckard
- Less is More: Maximal Marginal Relevance as a Summarisation Feature
Jan Frederik Forst, Anastasios Tombros, and Thomas Roelleke
- On the Notion of "An Information Need"
Eduard Hoenkamp
- Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification
Hengzhi Wu and Thomas Roelleke
September 11, Friday, 12-2pm
Atrium
- Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark
Davide Menegon, Stefano Mizzaro, Elena Nazzi, and Luca Vassena
- Predicting the Usefulness of Collection Enrichment for Enterprise Search
Jie Peng, Ben He, and Iadh Ounis
- Ranking List Dispersion as a Query Performance Predictor
Joaquín Pérez-Iglesias and Lourdes Araujo
- A Logical Inference Approach to Query Expansion with Social Tags
Christina Lioma, Roi Blanco, and Marie-Francine Moens
- Batch-Mode Computational Advertising Based on Modern Portfolio Theory
Dell Zhang and Jinsong Lu