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Modeling E-commerce User Session Behaviors Based on Click-through Sequences
Received date: 2014-11-04
Revised date: 2014-12-20
Online published: 2015-01-05
[Purpose/significance] Most user session models based on click-through sequences take sequences of the page types, but not users' behaviors. This paper aims to construct a user behavior typology and model user session behaviors using the typology.[Method/process] By analyzing features of URL parameter and pages contents, this paper takes 81 759 e-commerce user session behaviors for examples and proposes a novel approach to model user sessions with E-commerce click-through data by mapping movements from URL to URL to a typology of user behaviors. [Result/conclusion] This approach is tested with a sample of 81 759 user sessions. It recognizes 6 different types of sessions by their behavior sequence patterns. The behavior typology is useful in modeling session behavior and the recognized behavior patterns may be sued for marketing and recommendation.
Yuan Xingfu , Zhang Pengyi , Liu Honglian , Wang Jun . Modeling E-commerce User Session Behaviors Based on Click-through Sequences[J]. Library and Information Service, 2015 , 59(1) : 119 -126 . DOI: 10.13266/j.issn.0252-3116.2015.01.016
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