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SIGIR
2003
ACM
14 years 24 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
IV
2007
IEEE
110views Visualization» more  IV 2007»
14 years 1 months ago
Visualizing Collaborative Filtering in Digital Collections
The NEAR (Navigating Exhibitions, Annotations and Resources) panel is a method of managing digital collections and user preferences through collaborative filtering and graphically...
Victor Y. Chen, Cheryl Z. Qian, Robert F. Woodbury
RECSYS
2010
ACM
13 years 7 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
AMM
2011
118views more  AMM 2011»
13 years 2 months ago
From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering
—The number of resources or items that users can now access when navigating on the Web or using e-services, is so huge that these might feel lost due to the presence of too much ...
Armelle Brun, Sylvain Castagnos, Anne Boyer
JPDC
2006
253views more  JPDC 2006»
13 years 7 months ago
Collaborative detection and filtering of shrew DDoS attacks using spectral analysis
This paper presents a new spectral template-matching approach to countering shrew distributed denial-of-service (DDoS) attacks. These attacks are stealthy, periodic, pulsing, and ...
Yu Chen, Kai Hwang