Abstract: With the introduction of the concept of web2.0, the concept of UGC (user-generated content) is also deeply rooted in people's mind. Nowadays, various platforms cannot live without UGC. The behavior characteristics of e-commerce users on the platform have a huge impact on consumers themselves, potential consumers, e-commerce platforms and product manufacturers. At present, most of the research on online comments is on the text content, and few researches on the timeliness of users' feedback. Through data crawling software, the commodity comment field and its quantity of Jingdong mall are crawled to study the timely feedback behavior characteristics of e-commerce user comments and the factors affecting these behavior characteristics. The behavior characteristics of e-commerce users' timely feedback are studied by combining charts and graphs, and the feedback time rule is obtained. SPSS was used for regression analysis of the data, and the main influencing factors were obtained. According to the research results, the behavioral characteristics and influencing factors of e-commerce users' timely feedback can be targeted to propose suggestions to platform managers, comment publishers and potential consumers.

Key words: e-commerce users, comments, timely feedback, factors affecting