Amelioration Design of Customer-Behavior Analyzing Engine

Author

Wenjun, Liu

Author_Institution

S Cent Univ Natl, Wuhan

fYear

2007

fDate

2-3 Dec. 2007

Firstpage

47

Lastpage

50

Abstract

This article proposes an amelioration design of Customer-Behavior analyzing engine. This engine is constructed on clicks stream analyzing method which expands ExLF log file formats and distinguishes between users with Cookie recognition mechanism and embedded Session Variable. This method also distinguishes between user-visit affairs by the time window model, and presents detailed database tables from the data source. Through clustering and CLV value analysis, it can recognize core customers. And then, the article combines clicks-stream dialog files with commercial website´s inner data, and mines multidimensional associative rules by improved Apriori algorithm in order to analyze customer behavior and interests models.

Keywords

Internet; consumer behaviour; data mining; electronic commerce; pattern clustering; Apriori algorithm; CLV value analysis; Cookie recognition mechanism; ExLF log file formats; Web site inner data; amelioration design; clicks-stream dialog files; clustering analysis; customer-behavior analyzing engine; e-business; embedded session variable; interests models; multidimensional associative rule mining; Bonding; Clustering algorithms; Data mining; Databases; Engines; Information analysis; Information technology; Multidimensional systems; Technology management; Uniform resource locators;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, Workshop on

Conference_Location

Zhang Jiajie

Print_ISBN

978-0-7695-3063-5

Type

conf

DOI

10.1109/IITA.2007.14

Filename

4426962