A Customer Purchase Incidence Model Applied to Recommender Services

In this contribution we transfer a customer purchase incidence model for consumer products which is based on Ehrenberg's repeat-buying theory to Web-based information products. Ehrenberg's repeat-buying theory successfully describes regularities on a large number of consumer product markets. We show that these regularities exist in electronic markets for information goods, too, and that purchase incidence models provide a well founded theoretical base for recommender and alert services. The article consists of two parts. In the first part Ehrenberg's repeat-buying theory and its assumptions are reviewed and adapted for web-based information markets. Second, we present the empirical validation of the model based on data collected from the information market of the Virtual University of the Vienna University of

• Type: Conference
• Year: 2001
• Where: KDD
• Authors: Andreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn
• Keywords: Data Mining, KDD 2001, Purchase Incidence Model, Purchase Incidence Models, Web-based Information Markets