Location: Microsoft Research, Cambridge, UK
Date: 10-12 September 2009

Accepted Papers

Regular Papers [18]

Douglas de Jager and Jeremy Bradley. PageRank: Splitting Homogeneous Singular Linear Systems of Index One

Andrea Esuli and Fabrizio Sebastiani. Training Data Cleaning for Text Classification

Anna Khudyak and Oren Kurland. From "identical" to "similar": Fusing retrieved lists based on inter-document similarities

Ben Carterette. An Analysis of NP-Completeness in Novelty and Diversity Ranking

Tobias Blanke and Mounia Lalmas. Specificity Aboutness in XML Retrieval

Dell Zhang, Jinsong Lu, Robert Mao and Jian-Yun Nie. Time-Sensitive Language Modelling for Online Term Recurrence Prediction

Avi Arampatzis, Stephen Robertson and Jaap Kamps. Score Distributions in Information Retrieval

Stephane Clinchant and Eric Gaussier. Bridging Language Modeling and Divergence From Randomness Approaches: A Log-logistic Model for IR

Yiming Yang and Abhimanyu Lad. Modeling Expected Utility of Multi-session Information Distillation

Charles Clarke, Maheedhar Kolla and Olga Vechtomova. An Effectiveness Measure for Ambiguous and Underspecified Queries

Raghavendra Udupa, Abhijit Bhole and Pushpak Bhattacharya. "A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback

Oren Kurland, Carmel Domshlak and Natali Soskin. Navigating in the dark: Modeling uncertainty in ad hoc retrieval using multiple relevance models

Ingemar Cox, Ruoxun Fu and Lars Hansen. Probably Approximately Correct Search

Donald Metzler and Hugo Zaragoza. Semi-Parametric and Non-parametric Term Weighting for Information Retrieval

Christina Lioma, Roi Blanco, Raquel Mochales Palau and Marie-Francine Moens. A Belief Model of Query Difficulty that uses Subjective Logic

Eduard Hoenkamp, Peter Bruza, Qiang Huang and Dawei Song. An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model

mohamed farah. Ordinal Regression Based Model for Personalized Information Retrieval

Evangelos Kanoulas, Virgil Pavlu, Keshi Dai and Javed Aslam. Modeling the score distributions of relevant and non-relevant documents

Short Papers [15]

Benjamin Piwowarski and Mounia Lalmas. An Interactive Quantum Perspective for Information Retrieval

Anna Shtok, Oren Kurland and David Carmel. Predicting Query Performance by Query-Drift Estimation

M. Eduardo Ares, Javier Parapar and Álvaro Barreiro. Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links

Kostadin Koroutchev, Elka Korutcheva and Jian Shen. Written texts as statistical mechanical problem

Guido Zuccon, Leif Azzopardi and keith van Rijsbergen. The Quantum Probability Ranking Principle for Information Retrieval

W.J.M. Elbers and Th. P. Weide, van der. Optimizing WebPage Interest

Anas Dahabiah. Possibilistic Similarity Estimation and Visualization

Mark Smucker and James Allan. A New Measure of the Cluster Hypothesis

Haiming Liu, Victoria Uren, Dawei Song and Stefan Rueger. A Four-factor User Interaction Model for Content-Based Image Retrieval

Kalervo Jarvelin. Explaining User Performance in Information Retrieval: Challenges to IR evaluation

Marijn Koolen and Jaap Kamps. What's in a Link? From Document Importance to Topical Relevance

Nikolaos Nanas, Manolis Vavalis and Anne De Roeck. What happened to Content-Based Information Filtering?

Corrado Boscarino and Arjen P. de Vries. Prior information and the Determination of Event Spaces in Probabilistic Information Retrieval Models

Kevyn Collins-Thompson. Robust Word Similarity Estimation using Perturbation Kernels