305 search results - page 15 / 61 » Feature-Weighted User Model for Recommender Systems |
IAT
2008
IEEE
14 years 2 months ago
2008
IEEE
We analyse data obtained from several collaborative tagging systems and discover that user interests can be very diverse. Traditional methods for representing interests of users a...
IUI
2003
ACM
14 years 1 months ago
2003
ACM
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
CISS
2008
IEEE
2008
IEEE
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
14 years 2 months ago
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
AAAI
2010
13 years 9 months ago
2010
With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to m...
CW
2003
IEEE
14 years 1 months ago
2003
IEEE
Current BtoC recommendation services utilize consumers’ purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the i...