A New Analytical Model for Customer Growth Considering Potential Purchasing Preferences

Author:

Nishio Yuri1,Ito Hiroaki1,Yamashita Haruka2,Goto Masayuki1

Affiliation:

1. Waseda University

2. Sophia University

Publisher

The Japanese Society for Quality Control

Reference19 articles.

1. 1 Asahi, Y., Kodama, K., Sugihara, Y., and Namatame, T. (2004), “Extraction of latent factors concerning purchasing in department stores - Suggestion for shipping direct mail,” Operations Research (The Operations Research Society of Japan), vol.49, No.3, pp.75-80 (in Japanese)

2. 2 Bassi, F. (2007), “Latent Class Factor Models for Market Segmentation,” An Application to Pharmaceuticals, Statistical Methods & Applications, vol.16, No.2, pp.279-287

3. 3 Bhatnagar, A. and Ghose, S. (2004), “A Latent Class Segmentation Analysis of E-shoppers,” Journal of Business Research, vol.57, No.7, pp.758-767

4. 4 Bishop, C. M. (2010), “Pattern Recognition and Machine Learning,” 2nd printing, Springer

5. 5 Blei, M. D., Ng, Y. A., and Jordan, I. M. (2003), “Latent Dirichlet Allocation,” Journal of Machine Learning Research, vol.3, pp.993-1022

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