The Influences of Personalized Recommendation of Video Platform on Diversity of User Information Acquisition

DOI

10.2991/978-2-38476-593-5_69How to use a DOI?

Keywords

Personalized Recommendation; Video Platform; User Information Acquisition

Abstract

In the era of digital information, personalized recommendation technology has become the essence of information distribution in the video platform. It has the goal of enhancing the efficiency of information acquisition by matching the information with the user accurately through the user’s historical behavior and preference. Under the phenomenon of reshaping the information distribution model, the technical logic promoting individuation has deeply affected the diversity of information acquisition for the users. This paper discusses the dual effect mechanism of personalized recommendation of video platform on diversity of user information acquisition. The study found that personalized recommendation has a positive effect on reducing the cost of information discovery, improving the accuracy of information acquisition and stimulating potential interest exploration. At the same time, however, its technical characteristics also have the risk of narrowing the user’s field of vision, polarization of ideas and degradation of information autonomy. In view of these challenges, this paper puts forward optimization paths such as constructing “wide vision” algorithm, providing “multi-angle” content and cultivating “information autonomy” from three aspects of algorithm design, content presentation and user empowerment, so as to promote the collaborative development of personalized recommendation technology and information diversity value.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yichen Liu
PY  - 2026
DA  - 2026/06/30
TI  - The Influences of Personalized Recommendation of Video Platform on Diversity of User Information Acquisition
BT  - Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)
PB  - Atlantis Press
SP  - 629
EP  - 636
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-593-5_69
DO  - 10.2991/978-2-38476-593-5_69
ID  - Liu2026
ER  -