Agent-Generated Multimedia Posting for Interactive Information Push
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Solution Overview
Problem
The challenge of efficiently filtering and interacting with network information from a vast amount of data to improve information push efficiency is addressed.
Innovation Solution
A content posting method and device that generates multimedia content using machine learning to extract key information from network data, allowing for interactive human-computer interaction and efficient information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network information is pushed to users through traditional network communication methods, then information can be delivered to users, but users cannot efficiently filter and interact with the vast amount of information
Solution Approach 1:
An agent is introduced as an intermediary between the information push system and the user. The agent generates multimedia content from network information, posts it to a social media account, and provides an interactive interface for user engagement. This mediator handles the complexity of information filtering and presentation, making the system both productive and user-friendly
Solution Approach 2:
Traditional manual information filtering and interaction methods are replaced with an automated agent system that uses machine learning models to generate multimedia content and an interactive interface. The mechanical process of user-based information filtering is substituted with an automated intelligent system that handles content generation and interaction facilitation
2Productivity
If multimedia content is generated and posted by an agent, then information push efficiency is improved, but the system complexity increases
Solution Approach 1:
The content generation system is divided into distinct functional modules: a machine learning model for generating related content, a content generation module that combines key information with related content, and a posting module that publishes to social media. This segmentation allows each component to be optimized independently while working together to improve information push efficiency
Solution Approach 2:
The agent is designed as a multi-functional system that can perform multiple tasks: generating multimedia content from various types of network information, posting to different social media platforms, and providing interactive interfaces. This universality allows the system to handle diverse information types and platforms through a single integrated solution
Data Source
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AI summary
The present disclosure relates to a content posting method and device and a computer-readable storage medium, and relates to the field of computer technology. The content posting method includes: generating multimedia content to be posted by an agent according to obtained network information, wherein the multimedia content comprises related content generated according to the network information and key information in the network information; posting the multimedia content; displaying a human-machine interaction interface of the agent in response to an interactive request initiated by a user for the multimedia content; and realizing an interaction between the user and the agent based on the multimedia content in the human-computer interaction interface.