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KDD
2009
ACM
245views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
CIKM
2005
Springer
16 years 2 days ago
Person resolution in person search results: WebHawk
Finding information about people on the Web using a search engine is difficult because there is a many-to-many mapping between person names and specific persons (i.e. referents). ...
Xiaojun Wan, Jianfeng Gao, Mu Li, Binggong Ding
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
16 years 1 months ago
Beyond DCG: user behavior as a predictor of a successful search
Web search engines are traditionally evaluated in terms of the relevance of web pages to individual queries. However, relevance of web pages does not tell the complete picture, si...
Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 11 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
EOR
2006
135views more  EOR 2006»
15 years 6 months ago
Principles of scatter search
Scatter search is an evolutionary method that has been successfully applied to hard optimization problems. The fundamental concepts and principles of the method were first propose...
Rafael Martí, Manuel Laguna, Fred Glover