The Application Status and Trend Analysis of Personalized Recommendation in Short Videos
DOI:
https://doi.org/10.54097/zj7ypg11Keywords:
Short video; personalized recommendation algorithm; user data privacy.Abstract
Short videos have become increasingly popular in recent years, leading to the rise of many short video platforms with large user bases, such as leading platforms like TikTok. The user groups on these platforms are vast. With the rise of short-video platforms, TikTok, as one of the leading players, has become a highly influential social media platform worldwide. With the development of short videos, personalized recommendations are also playing an increasingly important role in short videos and are constantly evolving. This report examines the definition, classification, and evolution of personalized recommendation systems, along with their applications and the development trends and suggested countermeasures in short video platforms, with the objective of analyzing the current status and emerging trends of personalized recommendations in this domain. Research has found that personalized recommendations are of great help to the development of short videos. Enterprises need to keep up with the times and constantly update their personalized recommendation systems to enhance user experience and retain more users. Meanwhile, users also need to improve their ability to distinguish during the process of using short videos. In addition, the government should supervise enterprises to ensure the healthy application and development of personalized recommendations in short videos. It provides valuable reference information for content creators, short video platforms, and end users.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
