Research on E - commerce Personalization Recommendation Strategy

DOI

10.2991/ieesasm-17.2018.66How to use a DOI?

Keywords

E-commerce, Personalization, Strategy Analysis

Abstract

With the development of e-commerce, personalized product recommendation has become an indispensable part. According to the characteristics of products and clients, the corresponding recommendation strategies are proposed. The construction and working methods of all kinds of recommendation systems are preliminarily designed and analyzed. At last, the author points out that the current recommendation system Recommended system problems and future development..

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Zheng
PY  - 2018/01
DA  - 2018/01
TI  - Research on E - commerce Personalization Recommendation Strategy
BT  - Proceedings of the 2017 5th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2017)
PB  - Atlantis Press
SP  - 321
EP  - 324
SN  - 2352-5398
UR  - https://doi.org/10.2991/ieesasm-17.2018.66
DO  - 10.2991/ieesasm-17.2018.66
ID  - Zheng2018/01
ER  -