Collaborative filtering recommendation algorithm based on hybrid clustering and user preferences fusion

Collaborative filtering recommendation algorithm based on hybrid clustering and user preferences fusion

Problems such as low recommendation efficiency and recommendation quality to be improved generally exist in the traditional collaborative filtering recommendation algorithm. In order to improve and solve these problems, the collaborative filtering recommendation algorithm integrates mixed clustering...

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Bibliographic Details
Main Authors: Ma Tian, Yu Benguo, Zhang Jing, Song Wenai, Jing Yu
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2022-04-01
Series:Dianzi Jishu Yingyong
Subjects:
recommendation algorithm
weight label
time attenuation coefficient
exponential decay function
hybrid clustering
Online Access:http://www.chinaaet.com/article/3000148313
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