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...
| Veröffentlicht in: | ACM transactions on information systems. 22, 1 (2004). |
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| Format: | Artikel |
| Sprache: | English |
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