A hybrid approach for predicting customers' individual purchase behavior

Date

2017-01-01

Author

Peker, Serhat
Koçyiğit, Altan
Eren, Pekin Erhan

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Purpose - Predicting customers' purchase behaviors is a challenging task. The literature has introduced the individual-level and the segment-based predictive modeling approaches for this purpose. Each method has its own advantages and drawbacks, and performs in certain cases. The purpose of this paper is to propose a hybrid approach which predicts customers' individual purchase behaviors and reduces the limitations of these two methods by combining the advantages of them.

Subject Keywords

Customer behavior models, Personalization, Machine learning, Customer segmentation, Hybrid approach, Predictive modeling

URI

https://hdl.handle.net/11511/31583

Journal

KYBERNETES

DOI

https://doi.org/10.1108/k-05-2017-0164

Collections

Graduate School of Informatics, Article

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Citation Formats

S. Peker, A. Koçyiğit, and P. E. Eren, “A hybrid approach for predicting customers’ individual purchase behavior,” KYBERNETES, pp. 1614–1631, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31583.