Large Model Comment Video Generation for Streaming Apps
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Solution Overview
Problem
Existing information streaming applications rely on text-based user comments, limiting the diversity of content in comment sections and potentially reducing user engagement.
Innovation Solution
A method and apparatus for generating comment information based on a large model, which involves obtaining description information of a resource to be commented on, generating comment information including a comment video, and displaying the comment video in a comment section.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If text-based user comments are used in information streaming applications, then the implementation is simple, but the content diversity in comment sections is limited
Solution Approach 1:
The patent introduces a large model as an intermediary component between the resource and the comment section. This large model automatically generates comment videos based on resource information, serving as a mediator that transforms simple text-based comments into diverse video content without requiring direct user intervention for each comment creation
Solution Approach 2:
The system enables self-service comment generation where the large model automatically creates comment videos based on resource information without requiring manual user input. The system serves itself by autonomously generating diverse comment content, thereby increasing content diversity while maintaining simple operation for users
2Productivity
If manual text comments are used, then the system complexity is low, but the user engagement and interaction are reduced
Solution Approach 1:
The patent changes the fundamental parameter of comment format from text to video. This parameter change transforms the nature of comment content, enabling richer expression and higher user engagement. The large model handles the complexity of video generation, allowing the system to achieve high productivity in terms of user engagement while managing system complexity through automated processes
3Adaptability or versatility
If video comments are generated using a large model, then the comment content diversity increases, but the processing time and computational resources increase
Solution Approach 1:
The large model performs preliminary action by pre-processing resource information and generating comment videos in advance. This preliminary generation of diverse comment content allows the system to have ready-to-display video comments, reducing the time loss when comments need to be displayed to users while maintaining high format diversity
Data Source
AI summary
The disclosure provides a method and an apparatus for generating comment information based on a large model, an electronic device and a storage medium, relates to a technical field of artificial intelligence, and in particular to the technical fields of deep learning, large model, and natural language processing, and the like. The specific technical solution includes: obtaining description information of a resource to be commented on by understanding, based on the large model, the resource to be commented on; obtaining, based on the description information, comment information of the resource to be commented on, in which the comment information includes at least a comment video of the resource to be commented on; and displaying the comment video in a comment section. The intelligent generation of comment videos and texts is realized, improving the accuracy of the comment information, simplifying the comment generation process, and improving the speed of generating comments. Further, by introducing a video comment format, more diverse comment formats are provided for users to select from, greatly enhancing the user experience.