When Diversity Met Accuracy: A Story of Recommender Systems
Diversity and accuracy are frequently considered as two irreconcilable goals in the field of Recommender Systems. In this paper, we study different approaches to recommendation, based on collaborative filtering, which intend to improve both sides of this trade-off. We performed a battery of experime...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2018-09-01
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| Serie: | Proceedings |
| Soggetti: | |
| Accesso online: | http://www.mdpi.com/2504-3900/2/18/1178 |
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