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. (Intervento presentato al convegno IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 tenutosi a Sidney, Australia nel December 9-12, 2008) [10.1109/WIIAT.2008.359].
The effect of context on the predictive performance of segmentation
GORGOGLIONE, Michele;PANNIELLO, Umberto;
2008-01-01
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.
