Collaborative filtering recommendation algorithm based on asymmetric similarity of users

Aiming at data sparseness and inaccurate user relationship in traditional collaborative filtering recommendation algorithm, an improvement recommendation algorithm based on asymmetric similarity relationship of users is proposed.By using the sample number of potential features and the decomposition...

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Autors principals:	HUANG Xian-Ying, LONG Shu-Yan, XIE Jin
Format:	Artigo
Idioma:	Inglês
Publicat:	Editorial Department of Journal of Sichuan University (Natural Science Edition) 2018-01-01
Col·lecció:	四川大学学报. 自然科学版
Matèries:	Keywords: Collaborative filtering Recommendation algorithm Asymmetric similarity Matrix factorization
Accés en línia:	http://science.scu.edu.cn/thesisDetails?columnId=45827007&Fpath=home&index=0
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