Context-aware ranking with factorization models
Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for c...
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| Format: | Electronic Resource |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer
c2011.
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| Series: | Studies in computational intelligence
v. 330 |
| Subjects: | |
| Online Access: | Available for University of the Philippines Diliman via SpringerLink. Click here to access |