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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Detaylı Bibliyografya
Asıl Yazarlar:	Dimitris Spiliotopoulos, Dionisis Margaris, Costas Vassilakis
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2022-09-01
Seri Bilgileri:	Information
Konular:	collaborative filtering recommender systems personalisation dataset density rating prediction accuracy accuracy features
Online Erişim:	https://www.mdpi.com/2078-2489/13/9/428
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

On Exploiting Rating Prediction Accuracy Features in Dense Collaborative Filtering Datasets

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