AI Query Completion System for Reducing Search Input Time
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional search systems are inefficient as users often spend time sifting through long lists of search results due to the lack of effective prioritization and clustering, making it difficult to identify relevant information amidst vast amounts of data.
Innovation Solution
An AI-based system that infers user search intentions and dynamically completes or modifies search queries in real-time by accessing historical data and user context, using natural language processing, graffiti recognition, and voice recognition to provide more accurate and relevant search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional search systems return all search results in a long list, then comprehensive search coverage is achieved, but user time to review results increases significantly
Solution Approach 1:
The patent segments search results into multiple clusters based on similarity, presenting them as grouped categories rather than a single long list. Each cluster represents a thematic group of related results, allowing users to quickly scan cluster titles and select relevant groups without reviewing every individual result.
Solution Approach 2:
The system performs preliminary clustering and organization of search results before presentation to the user. By pre-grouping results into meaningful categories based on content analysis, the system reduces the cognitive load on users and enables faster navigation to relevant information.
2Loss of information
If search systems provide detailed document snippets for each result, then information completeness is improved, but the complexity of reviewing results increases
Solution Approach 1:
The patent applies local quality by providing different levels of detail for different parts of the search interface. Cluster titles provide high-level summaries for quick scanning, while individual document snippets within clusters provide detailed information only when users choose to explore specific groups, optimizing both brevity and completeness.
3Measurement precision
If users manually formulate complete search queries, then search precision is improved, but query input time increases
Solution Approach 1:
The system performs preliminary analysis of user input (even partial queries) to automatically generate clustered results. By pre-processing the search request and organizing results into thematic groups before presentation, the system maintains precision while reducing the time users need to spend formulating and refining queries.
4Device complexity
If search systems use simple ranking algorithms, then system complexity is reduced, but result prioritization effectiveness decreases
Solution Approach 1:
The patent segments the prioritization function into two levels: first, clustering results by thematic similarity using sophisticated analysis; second, ranking documents within each cluster using simpler algorithms. This segmentation allows complex prioritization logic to be applied where most needed (cluster formation) while keeping the overall system manageable.
Data Source
AI summary
Architecture for completing search queries by using artificial intelligence based schemes to infer search intentions of users. Partial queries are completed dynamically in real time. Additionally, search aliasing can also be employed. Custom tuning can be performed based on at least query inputs in the form of text, graffiti, images, handwriting, voice, audio, and video signals. Natural language processing occurs, along with handwriting recognition and slang recognition. The system includes a classifier that receives a partial query as input, accesses a query database based on contents of the query input, and infers an intended search goal from query information stored on the query database. A query formulation engine receives search information associated with the intended search goal and generates a completed formal query for execution.