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A hybrid approach for predicting customers' individual purchase behavior
Date
2017-01-01
Author
Peker, Serhat
Koçyiğit, Altan
Eren, Pekin Erhan
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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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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.