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ECIR
2004
Springer
13 years 6 months ago
Query Difficulty, Robustness, and Selective Application of Query Expansion
Giambattista Amati, Claudio Carpineto, Giovanni Ro...
TREC
2004
13 years 6 months ago
Juru at TREC 2004: Experiments with Prediction of Query Difficulty
Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
ECIR
2008
Springer
13 years 6 months ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
CIKM
2009
Springer
13 years 11 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
NIPS
2008
13 years 6 months ago
Estimating Robust Query Models with Convex Optimization
Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user's original query with additional related words. Current algorithms for ...
Kevyn Collins-Thompson