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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 4 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...
CORR
2011
Springer
183views Education» more  CORR 2011»
12 years 11 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
SAC
2005
ACM
14 years 1 months ago
A distributed content-based search engine based on mobile code
Current search engines crawl the Web, download content, and digest this content locally. For multimedia content, this involves considerable volumes of data. Furthermore, this proc...
Volker Roth, Ulrich Pinsdorf, Jan Peters
CIKM
2010
Springer
13 years 6 months ago
Document allocation policies for selective searching of distributed indexes
Indexes for large collections are often divided into shards that are distributed across multiple computers and searched in parallel to provide rapid interactive search. Typically,...
Anagha Kulkarni, Jamie Callan
IPTPS
2005
Springer
14 years 1 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...