A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule-Reference-Cited by-同舟云学术

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A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule

Published:2021-05 Issue: Volume:101 Page:104191
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Chen Jianrui,Lu Yanqing,Shang Fanhua,Zhu Tingting

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference35 articles.

1. Tuzhilin Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Trans. Knowl. Data Eng.,2005

2. A semantic enhanced hybrid recommendation approach: A case study of e-government tourism service recommendation system;Al-Hassan;Decis. Support Syst.,2015

3. Trust evaluation between the users of social networks using the quality of service requirements and call log histories;Alamir;Kybernetes,2016

4. Recommender systems: a systematic review of the state of the art literature and suggestions for future research;Alyari;Kybernetes,2018

5. Recommender systems survey;Bobadilla;Knowl.-Based Syst.,2013

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