| Title |
Live Streaming Interaction and Content Information Dissemination on TikTok Short Video Platform |
| Authors |
(Ziwei Zhao);(Chunying Ge) |
| DOI |
https://doi.org/10.5573/IEIESPC.2024.13.2.113 |
| Keywords |
TikTok; Short video platform; Live streaming; Intelligent recommendation |
| Abstract |
Short video platforms also allow the sharing of short videos and live streaming. Users can inde-pendently 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 rec-ommendation 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 per-formed the best when the number of nearest neighbor users was 15. Compared with the other two recommendation algorithms, the combined recommendation algorithm has a higher recom-mendation accuracy and more consistent recommendations of network anchor types. |