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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 1 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...
AIRS
2006
Springer
13 years 8 months ago
Automatic Query Type Identification Based on Click Through Information
We report on a study that was undertaken to better identify users' goals behind web search queries by using click through data. Based on user logs which contain over 80 millio...
Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma
WWW
2007
ACM
14 years 5 months ago
Automatic search engine performance evaluation with click-through data analysis
Performance evaluation is an important issue in Web search engine researches. Traditional evaluation methods rely on much human efforts and are therefore quite time-consuming. Wit...
Yiqun Liu, Yupeng Fu, Min Zhang, Shaoping Ma, Liyu...
WWW
2009
ACM
14 years 5 months ago
How much can behavioral targeting help online advertising?
Behavioral Targeting (BT) is a technique used by online advertisers to increase the effectiveness of their campaigns, and is playing an increasingly important role in the online a...
Jun Yan, Ning Liu, Gang Wang, Wen Zhang, Yun Jiang...
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
14 years 6 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft