162 search results - page 5 / 33 » Item-based collaborative filtering recommendation algorithms |
155
Voted
DEBU
2008
15 years 3 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...
129
Voted
AAAI
2006
15 years 4 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-...
151
Voted
RECSYS
2010
ACM
15 years 3 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...
135
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WKDD
2010
CPS
15 years 8 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...
105
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ISMIS
2005
Springer
15 years 8 months 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...