321 search results - page 13 / 65 » Learning and adaptivity in interactive recommender systems |
DAWAK
2009
Springer
14 years 4 months ago
2009
Springer
Interactive analysis of datacube, in which a user navigates a cube by launching a sequence of queries is often tedious since the user may have no idea of what the forthcoming query...
AE
2001
Springer
14 years 9 hour ago
2001
Springer
In the last few years, the coevolutionary paradigm has shown an increasing interest thanks to its high ability to manage huge search spaces. Particularly, the cooperative interacti...
ICALT
2006
IEEE
14 years 1 months ago
2006
IEEE
Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based l...
SIGIR
2009
ACM
14 years 2 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...
SIGIR
2011
ACM
12 years 10 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...