46 search results - page 9 / 10 » Predicting the ratings of multimedia items for making person... |
SIGIR
2009
ACM
14 years 27 days 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...
ICDM
2007
IEEE
14 years 21 days ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
TKDD
2010
13 years 4 months ago
2010
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
ADC
2006
Springer
14 years 12 days ago
2006
Springer
Collaborative filtering is regarded as one of the most promising recommendation algorithms. Traditional approaches for collaborative filtering do not take concept drift into acc...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...