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SIGKDD
2008
138views more  SIGKDD 2008»
15 years 6 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
IWC
2011
86views more  IWC 2011»
15 years 1 months ago
Selecting users for participation in IT projects: Trading a representative sample for advocates and champions?
The selection of users for participation in IT projects involves trade-offs between multiple criteria, one of which is selecting a representative cross-section of users. This crite...
Rasmus Rasmussen, Anders S. Christensen, Tobias Fj...
WWW
2008
ACM
16 years 7 months ago
Web user de-identification in personalization
It is a kind of privacy infraction in personalized web service if the user profile submitted to one web site transferred to another site without user permission. That can cause th...
Jiaqian Zheng, Jing Yao, Junyu Niu
WWW
2004
ACM
16 years 7 months ago
Understanding user goals in web search
Previous work on understanding user web search behavior has focused on how people search and what they are searching for, but not why they are searching. In this paper, we describ...
Daniel E. Rose, Danny Levinson
AIRWEB
2008
Springer
15 years 8 months ago
Identifying web spam with user behavior analysis
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spa...
Yiqun Liu, Rongwei Cen, Min Zhang, Shaoping Ma, Li...