References
[1]. Rendle S, Freudenthaler C, Schmidt-Thieme L. Factorizing personalized markov chains for next-basket recommendation[C]//WWW. 2010: 811-820.
[2]. Mostafa M M. Knowledge discovery of hidden consumer purchase behaviour: a market basket analysis[J]. International Journal of Data Analysis Techniques and Strategies, 2015, 7(4): 384-405.
[3]. Wedel M, Kannan P K. Marketing analytics for data-rich environments[J]. Journal of Marketing, 2016, 80(6): 97-121.
[4]. Arthur L. Big data marketing: engage your customers more effectively and drive value[M]. John Wiley & Sons, 2013.
[5]. Guidotti R, Rossetti G, Pappalardo L, et al. Personalized market basket prediction with temporal annotated recurring sequences[J]. IEEE Transactions on Knowledge and Data Engineering, 2018, 31(11): 2151-2163.
[6]. Kraus M, Feuerriegel S. Personalized purchase prediction of market baskets with Wasserstein-based sequence matching[C]// SIGKDD. 2019: 2643-2652.
[7]. Guo G, Wang H, Bell D, et al. KNN model-based approach in classification[C]//OTM Confederated International Conferences" On the Move to Meaningful Internet Systems". Springer, Berlin, Heidelberg, 2003: 986-996.
[8]. Agrawal R, Srikant R. Fast algorithms for mining association rules[C]//Proc. 20th int. conf. very large data bases, VLDB. 1994, 1215: 487-499.
[9]. LE D T, LAUW H W, FANG Y. Correlation-sensitive next-basket recommendation.(2019)[C]//Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macau, China, 2019 August 10. 16: 2808-2814.
[10]. Smith, Karl J. Precalculus: A functional approach to graphing and problem solving. Jones & Bartlett Publishers, 2011.
[11]. Itakura F. Minimum prediction residual principle applied to speech recognition[J]. IEEE Transactions on acoustics, speech, and signal processing, 1975, 23(1): 67-72.
[12]. Guo G, Wang H, Bell D, et al. KNN model-based approach in classification[C]//OTM Confederated International Conferences" On the Move to Meaningful Internet Systems". Springer, Berlin, Heidelberg, 2003: 986-996.
Cite this article
Chen,Y. (2023). Research on Predicting Customers' Next Purchase Based on Shopping Basket Data. Advances in Economics, Management and Political Sciences,11,353-361.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Rendle S, Freudenthaler C, Schmidt-Thieme L. Factorizing personalized markov chains for next-basket recommendation[C]//WWW. 2010: 811-820.
[2]. Mostafa M M. Knowledge discovery of hidden consumer purchase behaviour: a market basket analysis[J]. International Journal of Data Analysis Techniques and Strategies, 2015, 7(4): 384-405.
[3]. Wedel M, Kannan P K. Marketing analytics for data-rich environments[J]. Journal of Marketing, 2016, 80(6): 97-121.
[4]. Arthur L. Big data marketing: engage your customers more effectively and drive value[M]. John Wiley & Sons, 2013.
[5]. Guidotti R, Rossetti G, Pappalardo L, et al. Personalized market basket prediction with temporal annotated recurring sequences[J]. IEEE Transactions on Knowledge and Data Engineering, 2018, 31(11): 2151-2163.
[6]. Kraus M, Feuerriegel S. Personalized purchase prediction of market baskets with Wasserstein-based sequence matching[C]// SIGKDD. 2019: 2643-2652.
[7]. Guo G, Wang H, Bell D, et al. KNN model-based approach in classification[C]//OTM Confederated International Conferences" On the Move to Meaningful Internet Systems". Springer, Berlin, Heidelberg, 2003: 986-996.
[8]. Agrawal R, Srikant R. Fast algorithms for mining association rules[C]//Proc. 20th int. conf. very large data bases, VLDB. 1994, 1215: 487-499.
[9]. LE D T, LAUW H W, FANG Y. Correlation-sensitive next-basket recommendation.(2019)[C]//Proceedings of the 28th International Joint Conference on Artificial Intelligence, Macau, China, 2019 August 10. 16: 2808-2814.
[10]. Smith, Karl J. Precalculus: A functional approach to graphing and problem solving. Jones & Bartlett Publishers, 2011.
[11]. Itakura F. Minimum prediction residual principle applied to speech recognition[J]. IEEE Transactions on acoustics, speech, and signal processing, 1975, 23(1): 67-72.
[12]. Guo G, Wang H, Bell D, et al. KNN model-based approach in classification[C]//OTM Confederated International Conferences" On the Move to Meaningful Internet Systems". Springer, Berlin, Heidelberg, 2003: 986-996.