162 search results - page 5 / 33 » Item-based collaborative filtering recommendation algorithms |
DEBU
2008
13 years 7 months ago
2008
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
AAAI
2006
13 years 8 months ago
2006
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
RECSYS
2010
ACM
13 years 7 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...
WKDD
2010
CPS
14 years 22 days 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...
ISMIS
2005
Springer
14 years 28 days ago
2005
Springer
Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...