Predict Consumers' Automobile Purchase Behavior Based on the Preferences of Explicit Features and Implicit Topic

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In order to know the role of online reviews in predicting consumers' automobile purchasing behavior in the social network environment, this paper uses online reviews to construct a consumer interest preference model to obtain consumers' explicit feature preferences and implicit topic preferences. Based on the preferences of consumers, introduce the tree structure to construct hierarchical prediction model to predict consumers' purchase behavior. Meanwhile, consider the effect of online interactive comment on consumers' automobile purchases. Several results are obtained in this paper:(1) The proposed hierarchical model introducing more information could achieve multi-granularity purchase-decision predicting;(2) the predictive effect based on implicit topic preference is better than that based on explicit feature preference; (3) integrating online interactive comments have positive effect in analyzing and predicting consumers' purchasing behavior.

Cite

CITATION STYLE

APA

Yanan, D., & Yang, Q. (2019). Predict Consumers’ Automobile Purchase Behavior Based on the Preferences of Explicit Features and Implicit Topic. In Journal of Physics: Conference Series (Vol. 1237). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1237/2/022104

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free