Abstract
Video content discovery is important to provide user satisfaction to users of online video hosting/sharing and social media platforms. In some cases, such platforms may curate automatic playlists of popular videos. However, such playlists may not accurately reflect currently popular trends in particular regions. This disclosure describes the use of machine learning techniques to automatically analyze videos, including short form videos, to associate one or more locations to the video (e.g., creation location, popular-at locations, etc.) as well as to assign topics or categories to the video (e.g., dance type A, magic trick B, etc.). The topics may be discovered based on machine-learning based clustering techniques. The location and topic/category information are utilized to enable personalized discovery of trends for short video content. A digital map based interface may be provided to enable users to discover trending videos in their region and/or at other regions around the world.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Johnson Jr., Joseph and Tran, Quinn Thuy, "Machine Learning Based Identification of Trending Videos by Location and Topic", Technical Disclosure Commons, (December 19, 2023)
https://www.tdcommons.org/dpubs_series/6503