Abstract
The large number of available content options from streaming audio and video service providers poses a challenge for providing useful recommendations to users, especially when a group of users with diverse viewing interests want to collectively engage with content. This disclosure describes techniques that leverage a large language model to generate a feature dataset based on user-permitted metadata for individual users of a group of users and content metadata for available content. A composite rating for individual pieces of content is determined and suitable content for the group is identified.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Siruguppa, Sathya Anurag, "Generating Content Recommendations for User Groups Using a Large Language Model", Technical Disclosure Commons, (May 08, 2025)
https://www.tdcommons.org/dpubs_series/8098