Item-based top-N recommendation algorithms.
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 used to identify a set of items that will be of interest to a certain user. User-based collaborative filtering is the most su...
Izdano u: | ACM transactions on information systems. 22, 1 (2004). |
---|---|
Glavni autor: | |
Daljnji autori: | |
Format: | Članak |
Jezik: | English |
Teme: |