Search System Integrating AI Content Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional search engines are limited in returning relevant results when a user's query reflects an information retrieval intent that is not met by indexed items, often resulting in irrelevant or no results.
Innovation Solution
A computing system that receives a query from a client device, searches a computer-readable index for relevant items, and uses a computer-implemented model to generate content based on the query, which is then integrated into the search results, allowing for dynamic content creation and enhanced search functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a conventional search engine only returns indexed items, then the system complexity remains low, but the relevance of search results deteriorates when no indexed items match the user's information retrieval intent
Solution Approach 1:
The patent combines conventional search engine functionality with AI-generated content creation into a unified system. The search engine no longer merely retrieves pre-indexed items but integrates real-time content generation capabilities, merging two previously separate functions (search and content creation) into one cohesive system that dynamically produces relevant results
2Reliability
If the search engine generates content dynamically based on queries, then the relevance of search results improves, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and understanding the user's query intent before generating content. The AI model is prepared and configured in advance to rapidly generate relevant content based on the parsed query, reducing the actual generation time when a query is submitted
3Reliability
If the search engine returns both indexed items and generated content, then the completeness of search results improves, but the information overload increases
Solution Approach 1:
The patent applies local quality by providing different types of results for different query needs. Instead of uniformly returning all possible results, the system selectively presents indexed items for factual queries and AI-generated content for creative or information-gap queries, tailoring the result type to the specific local context of each query's intent
Data Source
AI summary
A computing system is described, where the computing system includes a processor and memory storing instructions that, when executed by the processor, cause the processor to perform several acts. The acts include receiving a query from an application executing on a client computing device that is in network communication with the computing system. The acts also include searching a computer-readable index of items based upon the query, identifying an item based upon the searching of the computer-readable index, transmitting the query to a computer-implemented model, and obtaining content generated by the computer-implemented model, where the computer-implemented model generated the content based upon the query. The acts further include returning at least one of the item or the content to the client computing device for presentment by way of the application executing on the client computing device.