Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating

ShengShai Zhang; Shiping Chen; Xiaodong Yu; Shaowei Mei

doi:10.1038/s41598-025-96705-0

Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating

S ShengShai Zhang S Shiping Chen (Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences)) X Xiaodong Yu S Shaowei Mei

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published June 04, 2025

DOI 10.1038/s41598-025-96705-0

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

S

ShengShai Zhang

S

Shiping Chen

Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences)

X

Xiaodong Yu

S

Shaowei Mei

Research on collaborative filtering algorithm based on improved K-means algorithm for user attribute rating and co-rating

Article Details

Journal Info

Authors (4)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation