Izvorni znanstveni članak
https://doi.org/10.20532/cit.2022.1005499
Behavior Analysis of User Interaction on Online Short Video Platform
Guang-Ming Sun
; Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
Shuo Wang
; Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
Yun-Kai Zhang
; Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
Yang Liu
; Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
Jin Gao
; Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
Qin Xie
; Department of Electrical and Information Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China
Sažetak
Online short video platform (OSVP) can disseminate information in an intuitive and three-dimensional (3D) way, and achieve commercial value in a mobile, socialized, life-oriented manner. To fully understand the information dissemination mode of short videos, it is of practical significance to explore user behaviors and their interactive relationship. Therefore, this paper carries out a behavior analysis on user interaction on OSVP. Firstly, an OSVP user interaction model was established based on three aspects: activity, attention, and interactivity. Next, user preference for short videos was examined through cluster analysis and evaluation. Finally, the authors summarized the behavior features of OSVP user interaction and investigated user interaction to decide which videos should be pushed to users. The average utility and average cost of user interaction behavior were compared, indicators of degree centrality were summarized, and the validity of the proposed algorithm was verified by experimental results.
Ključne riječi
online short videos; user interaction; interactive behavior analysis
Hrčak ID:
300735
URI
Datum izdavanja:
27.3.2023.
Posjeta: 371 *