Search Result Prominence via User-Specific Data Segmentation
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Solution Overview
Problem
Conventional search systems fail to accurately reflect user intent by not distinguishing between user-specific and general search results, leading to irrelevant information being displayed.
Innovation Solution
The system processes search queries and results to determine the display of user-specific data records and their prominence within search results, using triggering rules to identify relevant data records and visually enhance their display based on factors like time, location, and category relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search systems display only general search results, then the search system maintains simplicity in result presentation, but the relevance and accuracy of search outcomes deteriorates because user-specific information is not highlighted
Solution Approach 1:
The search results are segmented into distinct categories: user-specific data records and general search results. This segmentation allows the system to prioritize and prominently display user-specific information while maintaining general results, thereby improving relevance without overwhelming complexity
Solution Approach 2:
Different visual presentations are applied to different types of search results. User-specific data records receive enhanced visual treatment (prominent display, formatting, positioning) while general results maintain standard presentation, creating local quality differentiation that improves overall search effectiveness
2Measurement precision
If user-specific data records are prominently displayed with search results, then the accuracy of reflecting user intent improves, but the complexity of processing and determining display prominence increases
Solution Approach 1:
User-specific data records are pre-identified and stored in a data record system before the search query is processed. When a search is performed, the system checks triggering rules against these pre-identified records, allowing for rapid determination of display prominence without complex real-time processing
Solution Approach 2:
The system automatically determines which data records should be prominently displayed based on pre-defined triggering rules that match search queries with user-specific records. This self-service mechanism eliminates the need for manual curation or complex algorithmic decision-making, reducing processing complexity while maintaining accuracy
Data Source
AI summary
Implementations of the present disclosure include actions of receiving search results that are responsive to the search query, the search results being respectively representative of resources, processing one or more triggering rules based on at least one of the search query and the search results, determining, based on processing the one or more triggering rules, that a set of data records is to be displayed in a search results page with the search results, the set of data records including data records that are specific to the user, determining a display prominence of at least one data record in the set of data records, the display prominence indicating a prominence of the at least one data record when displayed in the search results page, and providing the search results and the set of data records for display, the at least one data record being displayed based on the display prominence.