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CIKM
2010
Springer
13 years 5 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 7 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 28 days 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 16 days 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
13 years 11 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