Live Streaming Interaction and Content Information Dissemination on TikTok Short Video Platform

被引：0

作者：

Zhao Z. ^{[1
]}

Ge C. ^{[1
]}

机构：

[1] Department of Media, Hebei Institute Of International Business and Economics, Hebei, Qinhuangdao

来源：

IEIE Transactions on Smart Processing and Computing | 2024年 / 13卷 / 02期

关键词：

Intelligent recommendation; Live streaming; Short video platform; TikTok;

D O I：

10.5573/IEIESPC.2024.13.2.113

中图分类号：

学科分类号：

摘要：

Short video platforms also allow the sharing of short videos and live streaming. Users can independently search for live streaming content for distribution, but the efficiency is relatively low. For example, the TikTok platform usually employs intelligent recommendation algorithms to actively distribute live streaming content to users in order to enhance the dissemination efficiency of live streaming content. This paper introduces a model of a user's live streaming interaction behavior on short video platforms, which was integrated with a collaborative filtering algorithm to build a recommendation algorithm. A case analysis was carried out using the TikTok short video platform. The combined algorithm was compared with an algorithm based on association rules and one based on collaborative filtering. It was found that the combined recommendation algorithm performed the best when the number of nearest neighbor users k was 15. Compared with the other two recommendation algorithms, the combined recommendation algorithm has a higher recommendation accuracy and more consistent recommendations of network anchor types. Copyrights © 2024 The Institute of Electronics and Information Engineers.

引用

页码：113 / 119

页数：6

共 20 条

[1]

Shang S., Shang W., Shi M., Feng S., Hong Z., A Video Recommendation Algorithm Based on Hyperlink-Graph Model, International Journal of Software Innovation, 5, 3, pp. 49-63, (2017)

[2]

Yang F., Xie H., Li H., Video associated cross-modal recommendation algorithm based on deep learning, Applied Soft Computing, 82, pp. 1-9, (2019)

[3]

Qi W., Li D., A User Experience Study on Short Video Social Apps Based on Content Recommendation Algorithm of Artificial Intelligence, International Journal of Pattern Recognition and Artificial Intelligence, 35, 2, pp. 1-13, (2021)

[4]

Xia N., Wu S., Wang S., Zhang H., A Mixed Recommended Algorithm Combining User Properties and Item Features, IOP Conference Series: Earth and Environmental Science, 440, 5, pp. 1-9, (2020)

[5]

Li S., A Heuristic Video Recommendation Algorithm based on Similarity Computation for Multiple Features Analysis, Recent Advances in Computer Science and Communications, 15, 8, pp. 1017-1025, (2022)

[6]

Zhu H., Liu Y., Tian F., Ni Y., Wu K., Chen Y., Zheng Q., A Cross-Curriculum Video Recommendation Algorithm Based on a Video-Associated Knowledge Map, IEEE Access, 6, pp. 57562-57571, (2018)

[7]

Li S., A Heuristic Video Recommendation Algorithm based on Similarity Computation for Multiple Features Analysis, Recent Advances in Computer Science and Communications, 15, 8, pp. 1017-1025, (2022)

[8]

Ma D., Luo L., Fang Y., Short video recommendations based on analytic hierarchy process and collaborative filtering algorithm, Journal of Physics: Conference Series, 1774, 1, pp. 1-7, (2021)

[9]

Mou X., Xu F., Du J. T., Examining the factors influencing college students' continuance intention to use short-form video APP, Aslib Journal of Information Management, 73, 6, pp. 992-1013, (2021)

[10]

← 1 2 →