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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Research on the Reconstruction of Customer Traveling and Purchasing Path Based on TFTA Algorithm
verfasst von : Guo Mei-wen, Zhang Yuan-ping
Erschienen in: Information and Business Intelligence
Verlag: Springer Berlin Heidelberg
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In electronic commerce environment, analysis on the traversal paths of network customers is extremely important. Scholars have undertaken extensive researches on this problem, but most are on order traversal path. This paper points out the inadequacies of order traversal path model, research on the reconstruction of the previous model, then gives the improved method that adds trace-back path to order traversal path. By the TFTA algorithm, finding out the key back tracing point in the path and grasping the time interval to analyze quantitatively, we present the new key customer traveling and purchasing path. Based on this, the websites interested in by the networks customers are known exactly, which will help the network companies further analyze the customers’ information and draw up the correct strategies of website design and Internet marketing.