Paper
20 April 2023 Research on data mining and the short video platforms users' personalized information needs
Hongxu Hao
Author Affiliations +
Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126020W (2023) https://doi.org/10.1117/12.2668112
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China
Abstract
The popularization and development of the Internet has prompted people to enter the era of informatization and digitization. With the development of new media technology and the influx of massive amounts of information, the problem between human information needs and information has changed from insufficient information to "useful" information acquisition difficulties. As a form of new media, short video has been favored by many people because of its unique characteristics since its emergence, but if the short video platform wants to get healthy and sustainable development, it needs to meet the personalized information needs of users to the greatest extent. At this time, the acquisition and analysis of users' personalized needs has become one of the focuses of the platform's work. Taking the short video platform as an example, this paper uses the K-means clustering analysis algorithm in data mining and the Apriori association rule mining algorithm to analyze the user's personalized information needs, and then according to the users requirements analysis, a user personalized information recommendation system for short video platforms - "KA-R" system is proposed to meet the purpose of meeting the personalized information needs of users.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongxu Hao "Research on data mining and the short video platforms users' personalized information needs", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126020W (20 April 2023); https://doi.org/10.1117/12.2668112
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KEYWORDS
Data mining

Video

Design and modelling

Tunable filters

Analytical research

Mining

Design rules

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