Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

An Improved D-S Evidence Theory based on Genetic Algorithm to VIP Intelligent Recognition and Recommendation System

Authors
Xiaoyin Xu, Lihong Ren, Yongsheng Ding
Corresponding Author
Xiaoyin Xu
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.596How to use a DOI?
Keywords
Information fusion, Genetic algorithm, Evidence theory, Intelligent recommendation
Abstract

In this paper, we use GA to improve the D-S evidence theory, and apply the improved D-S evidence theory to VIP intelligent recognition and recommendation system. In the VIP intelligent recognition and recommendation system of clothes, there are three main evidences: body size, personal preferences, and purchase records. So collision often happens inevitable. This requirement asks us to find out a suitable method to identify the VIPs’ needs. D-S evidence theory can improve the rate of identification, but has no idea about the collision. The improved D-S evidence theory based on genetic algorithm can deal with the collision evidence and improve the rate of the identification and the stability. As such we can provide VIP more suitable recommendation. The experiment results of clothes recommendation demonstrate the flexibility of the improved method.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.596How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

TY  - CONF
AU  - Xiaoyin Xu
AU  - Lihong Ren
AU  - Yongsheng Ding
PY  - 2013/03
DA  - 2013/03
TI  - An Improved D-S Evidence Theory based on Genetic Algorithm to VIP Intelligent Recognition and Recommendation System
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2381
EP  - 2384
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.596
DO  - https://doi.org/10.2991/iccsee.2013.596
ID  - Xu2013/03
ER  -