Conversational AI for Dynamic Search Content Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient method for managing information of information providers based on conversations, which limits dynamic and personalized content creation for search services.
Innovation Solution
A method and system that utilize a conversational information management function to interact with information providers, leveraging large language model (LLM)-based artificial intelligence to analyze conversations and manage campaigns, including registering assets and prompts, and dynamically creating content for search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional information management methods are used, then the system structure is simple, but the ability to dynamically create personalized content is limited
Solution Approach 1:
The patent introduces a conversational AI agent as an intermediary between the information provider and the content management system. This agent facilitates natural language interactions to register assets, manage campaigns, and create content dynamically, thereby enhancing adaptability while managing system complexity through intelligent mediation rather than complex user interfaces
Solution Approach 2:
The system enables information providers to self-manage their campaigns and content through conversational interactions with the AI agent. Providers can register assets, modify campaigns, and create content on-demand through natural language commands, reducing the need for manual configuration and enhancing the system's adaptability to individual needs
2Productivity
If manual information management is used, then the operation process is simple, but the efficiency of content creation is low
Solution Approach 1:
The patent replaces manual mechanical operations with an AI-based conversational system. Instead of requiring users to navigate complex forms and interfaces, the system uses natural language processing to understand and execute content creation tasks, significantly improving productivity while maintaining ease of operation through intuitive conversation
Solution Approach 2:
The system performs preliminary actions by pre-processing and organizing information assets before content creation is needed. The conversational AI agent can pre-register assets, organize campaign parameters, and prepare content templates in advance, so that when content creation is requested, the system can efficiently assemble and customize content without requiring manual preparation
Data Source
AI summary
A method and system for managing information of an information provider based on a conversation with an information provider. An information management method may include providing a conversational information management function to an information provider that desires to provide content to a user of a search service; conducting a conversation between large language model (LLM)-based artificial intelligence and the information provider through the conversational information management function; and analyzing the conversation and managing a campaign of the information provider.


