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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
RECSYS
2009
ACM
14 years 2 months ago
Measuring predictive capability in collaborative filtering
This paper presents a new memory-based approach to Collaborative Filtering where the neighbors of the active user will be selected taking into account their predictive capability....
Luis M. de Campos, Juan M. Fernández-Luna, ...
FLAIRS
2004
13 years 9 months ago
A New Filtering Model towards an Intelligent Guide Agent
In E-learning systems, where both helpers (tutors) and learners are separated geographically, finding a reliable helper is one of the most important challenges. Although helpers c...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
CCGRID
2001
IEEE
13 years 11 months ago
Sabotage-Tolerance Mechanisms for Volunteer Computing Systems
In this paper, we address the new problem of protecting volunteer computing systems from malicious volunteers who submit erroneous results by presenting sabotagetolerance mechanis...
Luis F. G. Sarmenta
DATAMINE
2002
135views more  DATAMINE 2002»
13 years 7 months ago
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
: Web usage mining, possibly used in conjunction with standard approaches to personalization such as collaborative filtering, can help address some of the shortcomings of these tec...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...