59 search results - page 3 / 12 » Collaborative competitive filtering: learning recommender us... |
RECSYS
2010
ACM
13 years 7 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
UAI
2003
13 years 8 months ago
2003
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
RECSYS
2009
ACM
14 years 2 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...