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