492 search results - page 2 / 99 » Learning Users' Interests in a Market-Based Recommender Syst... |
SIGKDD
2008
13 years 4 months ago
2008
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
ICRA
2005
IEEE
13 years 10 months ago
2005
IEEE
— Direct human control of multi-robot systems is limited by the cognitive ability of humans to coordinate numerous interacting components. In remote environments, such as those e...
AAAI
2006
13 years 6 months ago
2006
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
JCDL
2010
ACM
13 years 10 months ago
2010
ACM
We examine the effect of modeling a researcher’s past works in recommending scholarly papers to the researcher. Our hypothesis is that an author’s published works constitute a...
WKDD
2010
CPS
13 years 10 months ago
2010
CPS
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...