78 search results - page 1 / 16 » Group recommendations with rank aggregation and collaborativ... |
RECSYS
2010
ACM
13 years 4 months ago
2010
ACM
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
CSCW
1998
ACM
13 years 8 months ago
1998
ACM
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
IIR
2010
13 years 6 months ago
2010
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...