Academic Journal of Business & Management, 2019, 1(1); doi: 10.25236/AJBM.190111.
Jiang Tian1, Xue Wang2, Wei Li3, Futao Tian4
1. School of Economics and Managemen, University of Electronic Science and Technology of China, Chengdu 610054, China
2. School of Information and Communication Engineering，University of Electronic Science and Technology of China, Chengdu 611731, China
3. Enterprise Culture Department, PetroChina Southwest Oil and Gas field Company, Chengdu 610051, China
4. School of Management, University College London, WC1E 6BT, London, UK
With continuous improvement of individualized demand for consumers, traditional e-commerce has been unable to meet the growing demand for a better life. E-commerce service presents the intelligent development tendency in order to provide accurate and personalized service. Recommendation system for e-commerce provides customers with the most suitable product or service based on precise recommendation for customer’s demand and preference. This paper first establishes user portrait and service portrait to achieve precision matching for both parties supply and demand in e-commerce, and further analyzes the precise recommendation service by taking tutoring service as an example to accurately meet the demand of students for tutoring service.
Precision matching, recommendation service, algorithm, tutoring service
Jiang Tian, Xue Wang, Wei Li, Futao Tian. Precision Recommendation Algorithm for E-commerce Service：Taking Online Tutoring as an Example. Academic Journal of Business & Management (2019) Vol. 1: 71-79. https://doi.org/10.25236/AJBM.190111.
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