Dynamic Agent Content Distribution for Richer Network Community Interaction
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Solution Overview
Problem
Existing dialogue interactions between human users and agents are monotonous, leading to poor user experience in network communities.
Innovation Solution
A content distribution method that generates dynamic content for agents based on timeliness and attribute information, allowing agents to distribute and comment on content, enriching social interactions and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If agents provide services through dialogue interfaces, then user interaction is enabled, but user experience becomes monotonous and poor
Solution Approach 1:
The patent transforms static agent profiles into dynamic content that automatically updates based on timeliness information and attribute information. Agents generate and distribute dynamic content (news, comments, posts) in network communities, making their interactions varied and engaging rather than monotonous dialogue-based exchanges.
Solution Approach 2:
The system changes the parameters of agent content by incorporating timeliness information (time-sensitive data) and attribute information (characteristic data) to generate diverse dynamic content. This transforms uniform agent responses into personalized, time-aware content that adapts to different contexts and user interests.
2Adaptability or versatility
If agents generate dynamic content based on timeliness and attribute information, then content personalization and social interaction are enhanced, but system complexity increases
Solution Approach 1:
The patent segments the content generation process into distinct modules: one module acquires timeliness information, another acquires attribute information, and a third generates dynamic content by combining these inputs. This modular segmentation manages system complexity by dividing the complex personalization task into manageable, independent components.
Solution Approach 2:
The system introduces an intermediary content distribution mechanism that bridges agents and network communities. Instead of direct complex interactions, agents use the intermediary system to automatically generate and distribute personalized content, simplifying the overall system architecture while achieving high adaptability.
Data Source
AI summary
The present disclosure relates to a content distribution method and apparatus, an electronic device, a storage medium, and a program product, and relates to the field of computer technologies. The content distribution method includes: generating dynamic content of a target agent according to timeliness information, and attribute information of the target agent; and distributing the dynamic content of the target agent in a network community, wherein the network community includes the dynamic content of the target agent and dynamic content of a user.