Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business

Yan Guo, Chengxin Yin, Mingfu Li, Xiaoting Ren and Ping Liu
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Yan Guo: College of Management Science, Chengdu University of Technology, Chengdu 610059, China
Chengxin Yin: College of Architecture Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100, China
Mingfu Li: College of Architecture Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100, China
Xiaoting Ren: College of Public Management, China University of Mining and Technology, Xuzhou 221116, China
Ping Liu: Department of Economic and Management, Sichuan Technology Business College, Chengdu 611830, China

Sustainability, 2018, vol. 10, issue 1, 1-13

Abstract: A lack of in-depth excavation of user and resources information has become the main bottleneck restricting the predictive analytics of recommendation systems in mobile commerce. This article provides a method which makes use of multi-source information to analyze consumers’ requirements for e-commerce recommendation systems. Combined with the characteristics of mobile e-commerce, this method employs an improved radial basis function (RBF) network in order to determine the weights of recommendations, and an improved Dempster–Shafer theory to fuse the multi-source information. Power-spectrum estimation is then used to handle the fusion results and allow decision-making. The experimental results illustrate that the traditional method is inferior to the proposed approach in terms of recommendation accuracy, simplicity, coverage rate and recall rate. These achievements can further improve recommendation systems, and promote the sustainable development of e-business.

Keywords: mobile e-commerce; information system; predictive analytics; information technology; data-mining; decision-making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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