applied sciences Article Personality or Value: A Comparative Study of Psychographic Segmentation Based on an Online Review Enhanced Recommender System 1, 1,2, 3 1 1,4 1, Hui Liu y, Yinghui Huang y, Zichao Wang , Kai Liu , Xiangen Hu and Weijun Wang * 1 Key Laboratory of Adolescent Cyberpsychology and Behavior, Ministry of Education, Central China Normal University, Wuhan 430079, China;
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[email protected] (X.H.) 2 School of Information Management, Central China Normal University, Wuhan 430079, China 3 Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA;
[email protected] 4 Department of Psychology, The University of Memphis, Memphis, TN 38152, USA * Correspondence:
[email protected]; Tel.: +86-153-0715-0076 Hui Liu and Yinghui Huang are co-first authors. y Received: 1 March 2019; Accepted: 8 May 2019; Published: 15 May 2019 Abstract: Big consumer data promises to be a game changer in applied and empirical marketing research. However, investigations of how big data helps inform consumers’ psychological aspects have, thus far, only received scant attention. Psychographics has been shown to be a valuable market segmentation path in understanding consumer preferences. Although in the context of e-commerce, as a component of psychographic segmentation, personality has been proven to be effective for prediction of e-commerce user preferences, it still remains unclear whether psychographic segmentation is practically influential in understanding user preferences across different product categories. To the best of our knowledge, we provide the first quantitative demonstration of the promising effect and relative importance of psychographic segmentation in predicting users’ online purchasing preferences across different product categories in e-commerce by using a data-driven approach.