Collaborative Filtering Algorithm based on Hybrid Machine Learning Optimization

Qiu, Shengwei; Peng, J; Liu, M; Zhang, X; Dinarvand, S; Nejad, A; Yousefi, A; Pishvaee, M; Zare, Mohammad; Koch, Manfred; Xie, Wei; Wang, Jie-Sheng; Xing, Cheng; Guo, Sha-Sha; Guo, Meng-Wei; Zhu, Ling-Feng; Riad, Mohamed; Youcefi; Hadjadj, Ahmed; Bentriou, Abdelhak; Farouk, Said; Boukredera; Sun, Sizhou; Fu, Jingqi; Zhu, Feng; Du, Dajun; He, Wei; Sun, Changyin; Wunsch, Donald; Yi, Richard; Xu, Da; Rao, Alluvenkateswara; Srinivasa Rao, Chanamallu; Dharma; Cheruku, Raj; Yousefi, Atiye; Mir, Saman; Pishvaee; Kanagasabai, Lenin; Li, Dun; Wang, Cui; Li, Lun; Zheng, Zhiyun; Long, Tao; Wang, Shunli; Cao, Wen; Ren, Pu; He, Mingfang; Fernandez, Carlos; Na, Liu

doi:10.38007/ml.2020.010202

Public

Collaborative Filtering Algorithm based on Hybrid Machine Learning Optimization

Published in Machine Learning Theory and Practice • Jun 16, 2020

NobleIDNI9P959W565R173S141

Authors:

Shengwei Qiu

,

J Peng

,

M Liu

Abstract

Under the influence of the mobile Internet era, users' patience is increasingly limited.Future recommendation algorithms should quickly respond to users' urgent needs to save users' time.Under the background of big data, how to ensure the relatively low complexity and high accuracy of information pu...

Subject

Computer science

Machine learning

Collaborative filtering

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