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» Recency-based collaborative filtering
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SIGIR
2002
ACM
13 years 7 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny
WETICE
2005
IEEE
14 years 29 days ago
CAFE - Collaborative Agents for Filtering E-mails
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, a...
Lorenzo Lazzari, Marco Mari, Agostino Poggi
UAI
2004
13 years 8 months ago
Maximum Entropy for Collaborative Filtering
Within the task of collaborative filtering two challenges for computing conditional probabilities exist. First, the amount of training data available is typically sparse with resp...
C. Lawrence Zitnick, Takeo Kanade
AICS
2009
13 years 5 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley
EKAW
2006
Springer
13 years 11 months ago
Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering: Application to Collaborative Filtering
We propose a multilayered semantic social network model that offers different views of common interests underlying a community of people. The applicability of the proposed model to...
Iván Cantador, Pablo Castells