362 search results - page 6 / 73 » Learning preferences of new users in recommender systems: an... |
DL
2000
Springer
13 years 11 months ago
2000
Springer
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
AAAI
2006
13 years 9 months ago
2006
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
SIGIR
2003
ACM
14 years 22 days ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...