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» Optimizing search engines using clickthrough data
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KDD
2009
ACM
248views Data Mining» more  KDD 2009»
13 years 10 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 3 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...
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 6 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
MM
2006
ACM
164views Multimedia» more  MM 2006»
13 years 11 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
14 years 1 days ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl