Proceedings of the 2015 International Conference on Education, Management and Computing Technology

Taobao Shop Credit Evaluation Model Based on BP Neural Network

Authors
Dan Bai, Min Zuo
Corresponding Author
Dan Bai
Available Online June 2015.
DOI
https://doi.org/10.2991/icemct-15.2015.249How to use a DOI?
Keywords
Taobao Shop Credit evaluation model.BP neural network.
Abstract

This paper establishes the Taobao shop credit evaluation model in terms of shop information, goods, and services. Using 242 shop’s information from Taobao, after two-step clustering method in SPSS and using BP neural network toolbox, the evaluation index as input, clustering results as output, built the BP neural network of 230 data samples for training, getting the BP network which has a faster convergence speed and higher accuracy rate. On this basis, using 12 shops for the simulation of the endingmodel to predict the credit of shops objectively and eventuallyestablishesthe Taobao shop credit evaluation 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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Volume Title
Proceedings of the 2015 International Conference on Education, Management and Computing Technology
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2015
ISBN
978-94-62520-82-0
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemct-15.2015.249How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Dan Bai
AU  - Min Zuo
PY  - 2015/06
DA  - 2015/06
TI  - Taobao Shop Credit Evaluation Model Based on BP Neural Network
BT  - Proceedings of the 2015 International Conference on Education, Management and Computing Technology
PB  - Atlantis Press
SP  - 1211
EP  - 1216
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-15.2015.249
DO  - https://doi.org/10.2991/icemct-15.2015.249
ID  - Bai2015/06
ER  -