Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine’s Day Purchases

Author:

Wang Yongzhen1,Liu Xiaozhong2,Ju Yingnan3,Börner Katy3,Lin Jun4,Sun Changlong4,Si Luo4

Affiliation:

1. WISE Lab, Institute of Science of Science and S&T Management, Faculty of Humanities and Social Sciences , Dalian University of Technology , Dalian , China .

2. Computer Science Department , Worcester Polytechnic Institute , Worcester , Massachusetts , USA

3. School of Informatics, Computing and Engineering , Indiana University , Bloomington , Indiana , USA

4. Alibaba DAMO Academy , Hangzhou , China

Abstract

Abstract The days that precede Valentine’s Day are characterized by extensive gift shopping activities all across the globe. In China, where much shopping takes place online, there has been an explosive growth in e-commerce sales during Valentine’s Day over the recent years. This exploratory study investigates the extent to which each product category and each shopper group can exhibit romantic love within China’s e-market throughout the 2 weeks leading up to 2019 Valentine’s Day. Massive data from Alibaba, the biggest e-commerce retailer worldwide, are utilized to formulate an innovative romance index (RI) to quantitatively measure e-romantic values for products and shoppers. On this basis, millions of shoppers, along with their millions of products purchased around Valentine’s Day, are analyzed as a case study to demonstrate their love consumption and romantic gift-giving. The results of the analysis are then illustrated to help understand Chinese e-romance based on the perspectives of different product categories and shopper groups. This empirical information visualization also contributes to improving the segmentation, targeting, and positioning of China’s e-market for Valentine’s Day.

Publisher

Walter de Gruyter GmbH

Subject

Geology,Ocean Engineering,Water Science and Technology

Reference24 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural network models for predicting trends in VTuber Industry on Bilibili;International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022);2022-11-23

2. The illusion of data validity: Why numbers about people are likely wrong;Data and Information Management;2022-10

3. Dynamic intent-aware iterative denoising network for session-based recommendation;Information Processing & Management;2022-05

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