Dynamic Search Result Filtering by Entity Selection
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Solution Overview
Problem
Current search engines fail to effectively filter and prioritize search results based on user selection, often presenting irrelevant results alongside relevant ones, leading to user dissatisfaction.
Innovation Solution
A method that modifies search results by demoting or omitting search results associated with different entities when a user selects a specific search result, maintaining only the relevant set and adjusting display parameters such as dimming to highlight the selected entity's results, thereby providing a more focused and user-oriented search experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines present multiple sets of search results associated with different entities, then the quantity of search results is increased, but the relevance of search results to user intent deteriorates
Solution Approach 1:
The search results are made dynamic by modifying them based on user selection. When a user selects a search result from the first set, the system dynamically updates the search results display to omit or demote results from the second set, adapting the result set to the user's expressed interest and improving relevance over time
Solution Approach 2:
Different quality treatment is applied to different search result sets based on user interaction. The selected first set of results receives enhanced visibility and priority, while the unselected second set is demoted or omitted, creating localized quality differentiation that improves overall relevance
2Ease of operation
If search engines display all search results without filtering, then the ease of operation is improved, but the user satisfaction deteriorates due to irrelevant results
Solution Approach 1:
The system incorporates feedback from user selection behavior to automatically modify search results. When users select results from the first set, this feedback is used to demote or omit results from the second set in subsequent displays, improving user satisfaction without requiring manual filtering operations
Solution Approach 2:
The search system performs self-adjustment based on user interaction patterns. The automatic modification of search results based on selection feedback eliminates the need for users to manually filter or sort results, maintaining ease of operation while improving relevance and satisfaction
Data Source
AI summary
Methods and apparatus for modifying search results based selection of one of the search results by a user to whom the search results are presented. Initially provided search results may include at least a first set of search results that are associated with a first entity and a second set of search results that are associated with a second entity. In response to a user selection of one of the search results of the first set, the initial search results may be modified to demote and/or omit those search results of the second set that are not also of the first set. The user may be provided with the modified search results.