Application Analysis of Customer Purchase Behavior Based on Business Intelligence
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05237-8_28
Reference14 articles.
1. Aydn, M.N.: Discovering customer purchase patterns in product communities: an empirical study on co-purchase behavior in an online marketplace. J. Theoret. Appl. Electron. Commer. Res. 16, 2965–2980 (2021)
2. Chen, S.X., Wang, X.K., Zhang, H.Y., et al.: Customer purchase prediction from the perspective of imbalanced data: a machine learning framework based on factorization machine. Expert Syst. Appl. 173(2), 114756 (2021)
3. Chen, S.X., Wang, X.K., Zhang, H.Y., et al.: Customer purchase forecasting for online tourism: a data-driven method with multiplex behavior data. Tourism Manag. 87, 104357 (2021)
4. Krishna Kishore, S.V., Kiran, P., Banerjee, J., Vasudevan, M.: Moderation of income and age on customer purchase intention of green cosmetics in Bangalore. In: Chandani, A., Divekar, R., Nayak, J.K. (eds.) Achieving $5 Trillion Economy of India. SPBE, pp. 187–213. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-7818-9_11
5. Mecredy, P.J., Wright, M.J., Feetham, P.M., et al.: Empirical generalisations in customer mindset metrics. J. Consum. Behav. 21(3), 102–120 (2021)
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