An Algorithm for Density Enrichment of Sparse Collaborative Filtering Datasets Using Robust Predictions as Derived Ratings

An Algorithm for Density Enrichment of Sparse Collaborative Filtering Datasets Using Robust Predictions as Derived Ratings

Collaborative filtering algorithms formulate personalized recommendations for a user, first by analysing already entered ratings to identify other users with similar tastes to the user (termed as near neighbours), and then using the opinions of the near neighbours to predict which items the target u...

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Bibliographic Details
Main Authors: Dionisis Margaris, Dimitris Spiliotopoulos, Gregory Karagiorgos, Costas Vassilakis
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Algorithms
Subjects:
recommender systems
collaborative filtering
sparse datasets
density enrichment
robust predictions
derived ratings
Online Access:https://www.mdpi.com/1999-4893/13/7/174

Internet

https://www.mdpi.com/1999-4893/13/7/174

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