Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Exploring the Interpurchase Time of Two Interdependence Brands with Bivariate Stochastic Model

Authors
H.H. Huang
Corresponding Author
H.H. Huang
Available Online July 2015.
DOI
10.2991/aiie-15.2015.66How to use a DOI?
Keywords
data mining; interpurchase time; bivariate model; customer purchase behaviour
Abstract

In the competitive E-commerce marketing, a customer may purchase two or more different brands in one product categories. These brands become the competitive brands to win the customer’s share of the wallet. Thus it is an important issue to explore the interpurchase time of two interdependence and competitive brand. This paper proposes a bivariate model with stochastic approach to predict customer purchase behavior. These results can provide the application of E-commerce system.

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 Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.66How 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  - H.H. Huang
PY  - 2015/07
DA  - 2015/07
TI  - Exploring the Interpurchase Time of Two Interdependence Brands with Bivariate Stochastic Model
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 237
EP  - 238
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.66
DO  - 10.2991/aiie-15.2015.66
ID  - Huang2015/07
ER  -