Customer classification method and decision-making method of e-commerce platform based on clustering algorithm

• Main Authors: ZHANG XIAOLI, ZHANG LIANG, FU FEILONG, SHI GUANGJIE
• Format: Patent
• Language: Chinese; English
• Published: 26.11.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention particularly relates to a customer classification method and decision-making method of an e-commerce platform based on a clustering algorithm. The customer classification method and decision-making method comprise the steps: 1, collecting data of commodities purchased by a user, and performing set summarization on commodity purchasing probabilities of the user on an e-commerce website; 2, preprocessing the data set obtained in the step 1 to obtain a value vector of each client, wherein the value vector is composed of six LCRFMD indexes; 3, automatically clustering and grouping the clients by adopting a clustering algorithm according to the six LCRFMD indexes, and subdividing the clients into k classes, wherein the k classes correspond to k client groups, and k is a set classnumber and is a natural number greater than 1; 4, selecting a marketing model adaptive to the automatic clustering subdivision group according to the automatic clustering subdivision group; and 5, calculating the selected mar