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» Using historical data to enhance rank aggregation
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USS
2008
15 years 2 months ago
Highly Predictive Blacklisting
The notion of blacklisting communication sources has been a well-established defensive measure since the origins of the Internet community. In particular, the practice of compilin...
Jian Zhang, Phillip A. Porras, Johannes Ullrich
RTCSA
2007
IEEE
15 years 6 months ago
A Continuous Query Index for Processing Queries on RFID Data Stream
RFID middleware systems collect and filter RFID streaming data gathered continuously by numerous readers to process requests from applications. These requests are called continuou...
Jaekwan Park, Bonghee Hong, ChaeHoon Ban
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 6 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
DEBU
2008
59views more  DEBU 2008»
14 years 11 months ago
Social Wisdom for Search and Recommendation
Social-tagging communities offer great potential for smart recommendation and "socially enhanced" searchresult ranking. Beyond traditional forms of collaborative recomme...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Thomas...
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 2 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...