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124
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 3 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
89
Voted
RECOMB
2010
Springer
15 years 10 months ago
Hierarchical Generative Biclustering for MicroRNA Expression Analysis
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
José Caldas, Samuel Kaski
140
Voted
WISE
2007
Springer
15 years 9 months ago
Learning Implicit User Interests Using Ontology and Search History for Personalization
Abstract. The key for providing a robust context for personalized information retrieval is to build a library which gathers the long term and the short term user’s interests and ...
Mariam Daoud, Lynda Tamine, Mohand Boughanem, Bila...
136
Voted
CLEF
2008
Springer
15 years 5 months ago
UniNE at Domain-Specific IR - CLEF 2008
Our first objective in participating in this domain-specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russ...
Claire Fautsch, Ljiljana Dolamic, Jacques Savoy
146
Voted
LREC
2008
144views Education» more  LREC 2008»
15 years 5 months ago
Geo-WordNet: Automatic Georeferencing of WordNet
WordNet has been used extensively as a resource for the Word Sense Disambiguation (WSD) task, both as a sense inventory and a repository of semantic relationships. Recently, we in...
Davide Buscaldi, Paolo Rosso