Analysis on the Mobile Electronic Commerce Recommendation Model based on the Ant Colony Algorithm

DOI

10.2991/itms-15.2015.423How to use a DOI?

Keywords

Ant colony algorithm; Mobile e-commerce; Recommend model

Abstract

With the popularity of the internet and the development of e-commerce, the e-commerce system is providing users with more and more choice, and its structure becomes more complex. Users often get lost in a large number of commodity information spaces, and can't find the need goods smoothly. E-commerce recommendatio system can solve the problem. E-commerce recommendation system is the e-commerce sites provide commodity information and advice to customers, sales staff, so that the customers can complete the purchase process simulation software system. The e-commerce recommendation system makes the e-commerce system adapted to the specific needs of each customer, for each user adapted to the user's electronic stores. In the increasingly fierce competition environment, the e-commerce recommendation system in theory and practice has been great development. But with the further expansion of e-commerce systems, the e-commerce recommendation system is facing a series of challenges. In this paper, we will discuss the application of the ant colony algorithm in the mobile electronic commerce recommendation model.

Copyright

© 2015, 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  - X. Zhang
AU  - X.P. Pang
PY  - 2015/11
DA  - 2015/11
TI  - Analysis on the Mobile Electronic Commerce Recommendation Model based on the Ant Colony Algorithm
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 1736
EP  - 1739
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.423
DO  - 10.2991/itms-15.2015.423
ID  - Zhang2015/11
ER  -