55 search results - page 6 / 11 » cf 2009 |
BCI
2009
IEEE
14 years 4 months ago
2009
IEEE
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
RECSYS
2009
ACM
14 years 4 months ago
2009
ACM
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
WIA
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we consider the problem of minimization of deterministic finite automata (DFA) with reference to Hopcroft’s algorithm. Hopcroft’s algorithm has several degrees o...
ICWSM
2009
13 years 7 months ago
2009
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
SIGIR
2009
ACM
14 years 4 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...