Priors for Diversity and Novelty on Neural Recommender Systems
PRIN is a neural based recommendation method that allows the incorporation of item prior information into the recommendation process. In this work we study how the system behaves in terms of novelty and diversity under different configurations of item prior probability estimations. Our results show...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2019-07-01
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| Edice: | Proceedings |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2504-3900/21/1/20 |
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