Comparison of Bigdata Application in User Behavior for Short Video Industry: TikTok and Xiaohongshu

Abstract

With the progression of innovation, the applications created based on enormous information will gotten to be increasingly copious. Since the computing control of computers and the gigantic sum of information accessible are not easy issue, cleverly applications spoken to by manufactured insights and profound learning will ended up more astute. Within the setting of such industry competition, each brief video stage still must deeply understand the contrasts of its clients in numerous division measurements, so as to realize more precise advertise situating and define more sensible improvement methodologies. This article uses two platforms which analyze user behaviors depending on bigdata. AARRR Model is a technological tool that helps firms to find their problems. Bigdata is a basic section to build up such model. According to the analysis, the two companies built their own big data analysis methods based on this model to help them achieve greater success. These results shed light on guiding further exploration of big data analysis implementation for short video industry.