Research on Information Recommendation System of Internet Bookstore

DOI

10.2991/wartia-16.2016.342How to use a DOI?

Keywords

Internet bookstore, personalized service, data mining, recommendation system

Abstract

This paper proposes a strategic data-mining and recommendation method. It helps us to get the weight attribute of type of book by using AHP, and we add it in association rules. Then the method clusters the customer and type of book, and gives some strategies of personalized recommendation. Internet bookstore recommendation system is implemented with ASP.NET in this article. The experimental results indicate that the Internet bookstore recommendation system is feasible.

Copyright

© 2016, 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  - Hualin Ma
AU  - Yinchu Ma
AU  - Liyan Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Research on Information Recommendation System of Internet Bookstore
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1725
EP  - 1730
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.342
DO  - 10.2991/wartia-16.2016.342
ID  - Ma2016/05
ER  -