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» Collaborative Filtering on a Budget
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133
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SIGIR
2008
ACM
15 years 2 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
131
Voted
ICDIM
2010
IEEE
15 years 22 days ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
143
Voted
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 3 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
139
Voted
SIGIR
2002
ACM
15 years 2 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
116
Voted
WETICE
2005
IEEE
15 years 8 months 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