507 search results - page 83 / 102 » Trust-based collaborative filtering |
CSCW
2006
ACM
15 years 3 months ago
2006
ACM
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
CEAS
2006
Springer
15 years 1 months ago
2006
Springer
One of the biggest challenges in building effective anti-spam solutions is designing systems to defend against the everevolving bag of tricks spammers use to defeat them. Because ...
CORR
2002
Springer
14 years 9 months ago
2002
Springer
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...