362 search results - page 20 / 73 » Learning preferences of new users in recommender systems: an... |
MHCI
2009
Springer
14 years 2 months ago
2009
Springer
The aether soon will be pervaded with a high density of digital services for usage on mobile phones. Personalization plays a crucial role for the success and acceptance of such sy...
AI
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
ITRUST
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios su...
RECSYS
2009
ACM
14 years 6 days ago
2009
ACM
This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them togethe...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...