Boe technology group co., ltd. (20240163515). METHOD AND DEVICE FOR RECOMMENDING REAL-TIME AUDIOS AND/OR VIDEOS, AND COMPUTER STORAGE MEDIUM simplified abstract
Contents
- 1 METHOD AND DEVICE FOR RECOMMENDING REAL-TIME AUDIOS AND/OR VIDEOS, AND COMPUTER STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE FOR RECOMMENDING REAL-TIME AUDIOS AND/OR VIDEOS, AND COMPUTER STORAGE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND DEVICE FOR RECOMMENDING REAL-TIME AUDIOS AND/OR VIDEOS, AND COMPUTER STORAGE MEDIUM
Organization Name
boe technology group co., ltd.
Inventor(s)
METHOD AND DEVICE FOR RECOMMENDING REAL-TIME AUDIOS AND/OR VIDEOS, AND COMPUTER STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240163515 titled 'METHOD AND DEVICE FOR RECOMMENDING REAL-TIME AUDIOS AND/OR VIDEOS, AND COMPUTER STORAGE MEDIUM
Simplified Explanation
The patent application describes a method for recommending real-time audios and/or videos based on user data and content data.
- Acquiring description data of real-time audios and/or videos
- Determining candidate real-time audios and/or videos
- Acquiring audio and/or video data of candidate content
- Analyzing degree of association between content data and user data
- Displaying target candidate content in a user interface
Potential Applications
This technology could be applied in:
- Personalized content recommendations
- Real-time streaming platforms
- Social media platforms
Problems Solved
This technology helps solve:
- Information overload for users
- Lack of personalized content recommendations
Benefits
The benefits of this technology include:
- Improved user experience
- Increased user engagement
- Enhanced content discovery
Potential Commercial Applications
The potential commercial applications of this technology include:
- Content streaming services
- Social media platforms
- E-commerce platforms
Possible Prior Art
One possible prior art could be personalized content recommendation algorithms used in streaming platforms.
Unanswered Questions
How does the method ensure user data privacy?
The method should include measures to protect user data privacy and ensure compliance with data protection regulations.
What is the scalability of this method for a large number of users and content items?
It is important to understand how this method can scale effectively to handle a large volume of users and content items without compromising performance.
Original Abstract Submitted
disclosed is a method for recommending real-time audios and/or videos, including acquiring description data of a plurality of real-time audios and/or videos; acquiring user data; determining at least one candidate real-time audio and/or video in the real-time audios and/or videos; acquiring audio and/or video data of the at least one candidate real-time audio and/or video upon initiation of the candidate real-time audio and/or video; acquiring content data of the at least one candidate real-time audio and/or video; acquiring a degree of association between the content data of the at least one candidate real-time audio and/or video and the user data; and displacing a target candidate real-time audio and/or video in the at least one candidate real-time audio and/or video in a user interface.
