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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 5 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...
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
14 years 2 months ago
ApproxRank: Estimating Rank for a Subgraph
Abstract— Customized semantic query answering, personalized search, focused crawlers and localized search engines frequently focus on ranking the pages contained within a subgrap...
Yao Wu, Louiqa Raschid
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 2 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
AIRWEB
2009
Springer
14 years 2 months ago
Tag spam creates large non-giant connected components
Spammers in social bookmarking systems try to mimick bookmarking behaviour of real users to gain the attention of other users or search engines. Several methods have been proposed...
Nicolas Neubauer, Robert Wetzker, Klaus Obermayer
CIKM
2009
Springer
14 years 2 months ago
Effective and efficient structured retrieval
Search engines that support structured documents typically support structure created by the author (e.g., title, section), and may also support structure added by an annotation pr...
Le Zhao, Jamie Callan