Generative Model for Personalized Information Output
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Solution Overview
Problem
Existing information output systems cannot dynamically change the mode of information provision for individual users, leading to a one-size-fits-all approach that may not be optimal for each user's preferences or needs.
Innovation Solution
An information output apparatus that acquires subject information and user attribute information, and uses a generative model to generate provision information tailored to each user, allowing for dynamic adjustment of information presentation based on user attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a one-size-fits-all information provision mode is used, then system complexity is reduced, but information provision adaptability deteriorates
Solution Approach 1:
The patent introduces a generation model as an intermediary component that receives subject information and user attribute information, processes them, and generates personalized provision information. This mediator handles the complexity of personalization internally, allowing the overall system to maintain simplicity while achieving high adaptability in information provision.
Solution Approach 2:
The patent segments the information provision process into distinct components: acquiring subject information, acquiring user attribute information, generating provision information through a generation model, and outputting the result. This segmentation allows each component to be optimized independently, managing system complexity while enabling personalized adaptation.
2Adaptability or versatility
If personalized information provision is implemented, then information provision adaptability is improved, but device complexity increases
Solution Approach 1:
The generation model serves as a universal component that can handle various types of subject information and user attribute information to generate personalized provision information. This multi-functional component reduces overall system complexity by consolidating personalization logic in a single versatile module rather than requiring separate mechanisms for different personalization scenarios.
Data Source
AI summary
In order to achieve that a mode in which information is provided is changed for each person, an information output apparatus includes a first acquisition unit, a second acquisition unit, a third acquisition unit, and an output unit. The first acquisition unit acquires subject information including a text. The second acquisition unit acquires attribute information of a user. The third acquisition unit inputs the attribute information and the subject information to a generative model, and acquires, from the generative model, provision information that is information based on the subject information and is to be provided to the user. The output unit outputs the provision information.


