Construction of User Enneagram Model Based on BP Neural Network

doi:10.3969/j.issn.1006-2475.2019.03.001

Abstract

Abstract: With the development of E-commerce, the study of users consumer behavior and personality is increasingly prevalent, but the personality classification is mainly based on Eysenck Personality theory and Big Five personality. Besides, consumer behavior is not combined with user personality traits when analyzing user consumption behavior. This paper puts forward an enneagram model of users based on BP neural network. Firstly, the model analyzes user consumption dimensions on the users shopping logs by the dimension of the consumer behavior that is extracted from consumer behaviours, then, analyzes enneagram for consumer behavior dimensions, finally, classifies enneagram of user by BP neural network. This paper tests the model and verifies its feasibility with the users’ shopping logs for six months provided by Tianchi big data.

Key words: enneagram, BP neural network, consumer behavior, user personality mode

CLC Number:

TP391

HUANG Rong1, CHEN Yu-bing1, YUE Qing2, LIU Xing-lin1, WU Ming-fen1. Construction of User Enneagram Model Based on BP Neural Network[J]. Computer and Modernization, 2019, 0(03): 1-.

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