394 search results - page 28 / 79 » Learning to recommend questions based on user ratings |
ICDM
2007
IEEE
15 years 4 months 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...
RECSYS
2010
ACM
14 years 10 months ago
2010
ACM
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
MDM
2010
Springer
15 years 2 months ago
2010
Springer
— People’s location histories imply the location correlation that states the relations between geographical locations in the space of human behavior. With the correlation, we c...
GFKL
2007
Springer
15 years 4 months ago
2007
Springer
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
APIN
2005
14 years 9 months ago
2005
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, ...