On Producing Accurate Rating Predictions in Sparse Collaborative Filtering Datasets

The typical goal of a collaborative filtering algorithm is the minimisation of the deviation between rating predictions and factual user ratings so that the recommender system offers suggestions for appropriate items, achieving a higher prediction value. The datasets on which collaborative filtering...

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Bibliografski detalji

Glavni autori:	Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-06-01
Serija:	Information
Teme:	recommender systems personalisation collaborative filtering sparse datasets rating prediction reliability
Online pristup:	https://www.mdpi.com/2078-2489/13/6/302
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