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WWW
2008
ACM
16 years 2 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...
SIGIR
2008
ACM
15 years 1 months ago
User preference choices for complex question answering
Question answering systems increasingly need to deal with complex information needs that require more than simple factoid answers. The evaluation of such systems is usually carrie...
Mingfang Wu, Falk Scholer, Andrew Turpin
WWW
2011
ACM
14 years 8 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han
HT
2011
ACM
14 years 5 months ago
Personalisation in the wild: providing personalisation across semantic, social and open-web resources
One of the key motivating factors for information providers to use personalisation is to maximise the benefit to the user in accessing their content. However, traditionally such s...
Ben Steichen, Alexander O'Connor, Vincent Wade
EWCBR
2004
Springer
15 years 7 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake