5 search results - page 1 / 1 » Functional matrix factorizations for cold-start recommendati... |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
WSDM
2012
ACM
12 years 2 days ago
2012
ACM
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
SIGIR
2011
ACM
12 years 7 months ago
2011
ACM
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
RECSYS
2010
ACM
13 years 2 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...