On Exploiting Rating Prediction Accuracy Features in Dense Collaborative Filtering Datasets
One of the typical goals of collaborative filtering algorithms is to produce rating predictions with values very close to what real users would give to an item. Afterward, the items having the largest rating prediction values will be recommended to the users by the recommender system. Collaborative...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2022-09-01
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| Serie: | Information |
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| Accesso online: | https://www.mdpi.com/2078-2489/13/9/428 |
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