Research on Tourism E-commerce based on Data Mining

DOI

10.2991/iea-15.2015.166How to use a DOI?

Keywords

data mining; tourism e-commerce; web data mining; recommended system.

Abstract

This paper describes in detail the web data mining technology, analyzes the relationship between the data on the web site to the tourism electronic commerce (including the server log, tourism commodity database, user database, the shopping cart), access to relevant user preference information for tourism commodity. Based on these models, the paper presents recommended strategies for the site registered users, and has had the corresponding formulas for calculating the current user of certain items recommended values and the corresponding recommendation algorithm, and the system can get a recommendation for user.

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  - Liu Yan
PY  - 2015/09
DA  - 2015/09
TI  - Research on Tourism E-commerce based on Data Mining
BT  - Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)
PB  - Atlantis Press
SP  - 669
EP  - 671
SN  - 2352-5401
UR  - https://doi.org/10.2991/iea-15.2015.166
DO  - 10.2991/iea-15.2015.166
ID  - Yan2015/09
ER  -