1759 search results - page 40 / 352 » Active Collaborative Filtering |
151
Voted
SIGIR
2009
ACM
15 years 9 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
129
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
118
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RECSYS
2009
ACM
15 years 9 months ago
2009
ACM
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
124
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AH
2008
Springer
15 years 8 months ago
2008
Springer
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
111
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IDEAS
2006
IEEE
15 years 8 months ago
2006
IEEE
Collaborative Filtering (CF) Systems are gaining widespread acceptance in recommender systems and ecommerce applications. These systems combine information retrieval and data mini...