492 search results - page 33 / 99 » Learning Users' Interests in a Market-Based Recommender Syst... |
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
CIKM
2005
Springer
14 years 1 months ago
2005
Springer
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
SIGIR
2003
ACM
14 years 24 days ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
IIR
2010
13 years 9 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...
LWA
2007
13 years 9 months ago
2007
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...