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ICDIM
2010
IEEE
15 years 1 months 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
147
Voted
SIGIR
2002
ACM
15 years 3 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
108
Voted
RECOMB
2005
Springer
16 years 3 months ago
Modeling the Combinatorial Functions of Multiple Transcription Factors
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
Chen-Hsiang Yeang, Tommi Jaakkola
131
Voted
IIR
2010
15 years 5 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco