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Smart Business Services via Consumer Purchasing Behaviour Modeling

Provision of active and personalized services relies on the understanding of individual behaviour. In this study, a broad spectrum of online purchasing scenarios was analyzed in order to define a general model termed the Consumer Behaviour Model (CBM). Contexts, including purchase activities, environmental data, etc., so-called big data, are important sources for extracting the characteristics of consumers, contributing to the growth of CBM. This research proposes a framework which includes a data mining engine and a knowledge fusion engine for the continuous extraction of customer purchasing behaviour. Moreover, an open platform has been designed for facilitating access to CBM by third-party applications. In this paper, two consumer purchasing scenarios are posited along with an illustration of how the Consumer Behaviour Model grows accordingly.