Recent research showed that including context in customer behavior models improves predictive performance, especially when the unit of analysis is the single customer. Also segmentation has proved to improve the performance of predictive modeling. The research contribution of this work lies in studying interaction effects between segmentation and contextual information. Several experiments were done on a data set coming from an e-commerce application
The effect of context on the predictive performance of segmentation / Faraone, M. F.; Gorgoglione, Michele; Lombardi, S; Palmisano, C; Panniello, Umberto; Tuzhilin, A.. - (2008), pp. 63-66. ( IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 Sidney, Australia December 9-12, 2008) [10.1109/WIIAT.2008.359].
The effect of context on the predictive performance of segmentation
GORGOGLIONE, Michele;PANNIELLO, Umberto;
2008
Abstract
Recent research showed that including context in customer behavior models improves predictive performance, especially when the unit of analysis is the single customer. Also segmentation has proved to improve the performance of predictive modeling. The research contribution of this work lies in studying interaction effects between segmentation and contextual information. Several experiments were done on a data set coming from an e-commerce applicationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
