Improved collaborative filtering personalized recommendation algorithm based on k-means clustering and weighted similarity on the reduced item space

Improved collaborative filtering personalized recommendation algorithm based on k-means clustering and weighted similarity on the reduced item space

Collaborative filtering (CF) algorithm is one of the most widely used recommendation algorithms in recommender systems. However, there is a data sparsity problem in the traditional CF algorithm, which may reduce the recommended efficiency of recommender systems. This paper proposes an improved colla...

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Bibliographic Details
Main Authors: Jiaquan Huang, Zhen Jia, Peng Zuo
Format: Article
Language:English
Published: AIMS Press 2023-02-01
Series:Mathematical Modelling and Control
Subjects:
recommender systems
personal recommendation algorithm
k-means clustering
bipartite network
collaborative filtering
Online Access:https://www.aimspress.com/article/doi/10.3934/mmc.2023004?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mmc.2023004?viewType=HTML

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