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» Learning to rank for information retrieval (LR4IR 2008)
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CIKM
2008
Springer
15 years 1 months ago
Searching the wikipedia with contextual information
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type q, p , where q...
Antti Ukkonen, Carlos Castillo, Debora Donato, Ari...
ECIR
2009
Springer
15 years 9 months ago
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the problem is solved using a 3 step process in which rel...
Shima Gerani, Mark James Carman, Fabio Crestani
CLEF
2008
Springer
15 years 1 months ago
GeoTextMESS: Result Fusion with Fuzzy Borda Ranking in Geographical Information Retrieval
In this paper we discuss the integration of different GIR systems by means of a fuzzy Borda method for result fusion. Two of the systems, the one by the Universidad Polit
Davide Buscaldi, José M. Perea-Ortega, Paol...
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
15 years 9 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
SIGIR
2002
ACM
14 years 11 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer