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CIKM
2010
Springer
13 years 8 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
ECIR
2008
Springer
13 years 11 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
14 years 4 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
CLEF
2007
Springer
14 years 3 months ago
Applying Query Expansion Techniques to Ad Hoc Monolingual Tasks with the IR-n System
The paper describes our participation in Monolingual tasks at CLEF 2007. We submitted results for the following languages: Hungarian, Bulgarian and Czech. We focused on studying d...
Elisa Noguera, Fernando Llopis
EDBTW
2004
Springer
14 years 3 months ago
Relevance Feedback in XML Retrieval
Highly heterogeneous XML data collections that do not have a global schema, as arising, for example, in federations of digital libraries or scientific data repositories, cannot be...
Hanglin Pan