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WWW
2008
ACM
16 years 7 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...
WWW
2008
ACM
16 years 7 months ago
Recommending questions using the mdl-based tree cut model
The paper is concerned with the problem of question recommendation. Specifically, given a question as query, we are to retrieve and rank other questions according to their likelih...
Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, H...
WWW
2007
ACM
16 years 7 months ago
Speeding up adaptation of web service compositions using expiration times
Web processes must often operate in volatile environments where the quality of service parameters of the participating service providers change during the life time of the process...
John Harney, Prashant Doshi
WWW
2007
ACM
16 years 7 months ago
Supervised rank aggregation
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Han...
WWW
2006
ACM
16 years 7 months ago
Relaxed: on the way towards true validation of compound documents
To maintain interoperability in the Web environment it is necessary to comply with Web standards. Current specifications of HTML and XHTML languages define conformance conditions ...
Jirka Kosek, Petr Nálevka