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WWW
2008
ACM
14 years 6 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
BMCBI
2007
176views more  BMCBI 2007»
13 years 5 months ago
The Firegoose: two-way integration of diverse data from different bioinformatics web resources with desktop applications
Background: Information resources on the World Wide Web play an indispensable role in modern biology. But integrating data from multiple sources is often encumbered by the need to...
J. Christopher Bare, Paul T. Shannon, Amy K. Schmi...
WWW
2007
ACM
14 years 6 months ago
Investigating behavioral variability in web search
Understanding the extent to which people'ssearch behaviors differ in terms of the interaction flow and information targeted is important in designing interfaces to help World...
Ryen W. White, Steven M. Drucker
CIKM
2010
Springer
13 years 3 months ago
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Jianfeng Gao, Xiaodong He, Jian-Yun Nie
WWW
2005
ACM
14 years 6 months ago
CubeSVD: a novel approach to personalized Web search
As the competition of Web search market increases, there is a high demand for personalized Web search to conduct retrieval incorporating Web users' information needs. This pa...
Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, ...