Precise Recommendation of Sichuan Cultural and Tourism Information in Short-Video Apps Based on User Profiles

Authors

  • Yangjian Hu Digital Economy Teaching and Research Office, School of Digital Economy and Management, Sichuan Technology and Business University, Meishan, Sichuan 620010, China

Abstract

This paper briefly introduces the construction of user profiles and a user profile-based short video recommendation algorithm. In the algorithm, the user profiles are first classified using the clustering algorithm improved by particle swarm optimization (PSO), and then short videos are recommended to users based on the profiles. Simulation experiments were then conducted on the Douyin short video platform. The results showed that the PSO improved K-means clustering algorithm effectively classified user profiles, with the best classification effect when the K value was 4. The proposed recommendation algorithm could provide users with more accurate short videos on Sichuan culture and tourism.

Keywords: User profile, short video, recommendation algorithm, clustering algorithm


Cite As

Y. Hu, "Precise Recommendation of Sichuan Cultural and Tourism Information in Short-Video Apps Based on User Profiles", Engineering Intelligent Systems, vol. 34 no. 5, pp. 641-646, 2026.




Downloads

Published

2026-09-01

Issue

Vol. 34 No. 5 (2026): International Journal of Engineering Intelligent Systems

Section

Article

License

The submission of a paper implies that, if accepted for publication, it will not be published elsewhere in the same form, in any language, without the prior consent of the publisher. Before publication, authors are requested to assign copyright to CRL Publishing Ltd. This allows CRL to sanction photocopying, and to authorize the reprinting of issues or volumes according to demand. Authors' traditional rights will not be jeopardized by assigning Copyright in this way, as they retain the right to reuse the material following publication, and to veto third-party publication.