Towards User's Acceptance Recommender System Model

被引：0

作者：

Gmach, Imen ^{[1
]}

Melek, Ghenima ^{[2
]}

Khrifish, Lofi ^{[1
]}

机构：

[1] Sfax Univ, Res Unit Business Management, Fac Econ Sci & Management, Sfax, Tunisia

[2] Univ Manouba, Lob Riadi GDL, Natl Sch Comp Sci, Manouba, Tunisia

来源：

SUSTAINABLE ECONOMIC GROWTH, EDUCATION EXCELLENCE, AND INNOVATION MANAGEMENT THROUGH VISION 2020, VOLS I-VII | 2017年

关键词：

Recommender systems; collaborative filtering; filtering approaches; UTAUT;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This paper focuses on the state of the art of recommender systems. It presents various technical recommendations mentioned in the literature, primarily the basic content filtering. collaborative filtering, and hybrid filtering. it comes to study different models of technology acceptance. The article also presents a summary of the various existing approaches by developing a model that demonstrates the user acceptance of recommender system. And it ends with research model proposal for the acceptance of use of recommender system.

引用

页码：2937 / 2946

页数：10

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