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» Learning to rank for information retrieval
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IRI
2007
IEEE
14 years 3 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
CLEF
2006
Springer
14 years 21 days ago
A High Precision Information Retrieval Method for WiQA
This paper presents Wolverhampton University's participation in the WiQA competition. The method chosen for this task combines a high precision, but low recall information re...
Constantin Orasan, Georgiana Puscasu
SIGIR
2009
ACM
14 years 3 months ago
Telling experts from spammers: expertise ranking in folksonomies
Michael G. Noll, Ching-man Au Yeung, Nicholas Gibb...
WWW
2007
ACM
14 years 9 months ago
A link-based ranking scheme for focused search
This paper introduces a novel link-based ranking algorithm based on a model of focused Web surfers. FocusedRank is described and compared to implementations of PageRank and Topic-...
Philip O'Brien, Tony Abou-Assaleh, Tapajyoti Das, ...
KCAP
2005
ACM
14 years 2 months ago
Ontology ranking based on the analysis of concept structures
In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of...
Harith Alani, Christopher Brewster