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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...
SIGIR
2009
ACM
16 years 1 months ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
CLEF
2004
Springer
15 years 12 months ago
Content-Based Queries on the CasImage Database Within the IRMA Framework
Abstract. Recent research has suggested that there is no general similarity measure, which can be applied on arbitrary databases without any parameterization. Hence, the optimal co...
Christian Thies, Mark Oliver Güld, Benedikt F...
WWW
2009
ACM
16 years 7 months ago
OpenRuleBench: an analysis of the performance of rule engines
The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since severa...
Senlin Liang, Paul Fodor, Hui Wan, Michael Kifer
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 7 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai