Código QR (código de barras bidimensional)

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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Principais autores: HUANG Xian-Ying, LONG Shu-Yan, XIE Jin
Formato: Artigo
Idioma:Inglês
Publicado em: Editorial Department of Journal of Sichuan University (Natural Science Edition) 2018-01-01
coleção:四川大学学报. 自然科学版
Assuntos:
Keywords: Collaborative filtering
Recommendation algorithm
Asymmetric similarity
Matrix factorization
Acesso em linha:http://science.scu.edu.cn/thesisDetails?columnId=45827007&Fpath=home&index=0
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