On Producing Accurate Rating Predictions in Sparse Collaborative Filtering Datasets

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...

Full description

Bibliographic Details
Main Authors: Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Information
Subjects:
recommender systems
personalisation
collaborative filtering
sparse datasets
rating prediction
reliability
Online Access:https://www.mdpi.com/2078-2489/13/6/302

Internet

https://www.mdpi.com/2078-2489/13/6/302

Similar Items