Search Result Collapse Logic for Noise Reduction
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Solution Overview
Problem
Existing network search technologies face challenges in efficiently filtering out irrelevant search results, making it difficult for users to find relevant information amidst a large amount of data.
Innovation Solution
A system and method for collapsing search results, which includes a server with collapse logic that receives user input, determines irrelevant results, and removes them based on user preferences and logic statements, thereby improving search result relevance and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional search technologies are used to retrieve information from networks, then a large number of search results are returned, but irrelevant results increase noise and make it difficult for users to find relevant information
Solution Approach 1:
The patent extracts and removes irrelevant search results from the result set based on user feedback. When users mark results as irrelevant, the system identifies and extracts those results along with similar results using similarity algorithms, effectively separating useful information from noise.
Solution Approach 2:
The system implements feedback mechanisms where user selections and markings of irrelevant results are processed to improve future search results. The feedback loop allows the system to learn from user interactions and dynamically adjust result presentation, removing previously marked irrelevant results and similar ones.
2Loss of information
If manual filtering of search results is performed by users, then irrelevant results can be removed, but user time and effort increase significantly
Solution Approach 1:
The system performs preliminary filtering actions by pre-processing search results and pre-identifying potentially irrelevant results using similarity algorithms. When users mark one result as irrelevant, the system has already prepared similar result identifications, so the filtering action is expedited rather than requiring manual review of each result.
Solution Approach 2:
The system enables self-service filtering where users can quickly mark results as relevant or irrelevant, and the system automatically handles the complex task of identifying and removing similar irrelevant results. This transfers the burden of extensive filtering from the user to the automated system.
3Loss of information
If all search results are displayed to users, then complete information is provided, but users become overwhelmed by the volume of data
Solution Approach 1:
The patent segments search results into different categories or groups, particularly separating results that users have marked as irrelevant from those they have not. The interface can present results in manageable segments, allowing users to focus on relevant information while irrelevant results are collapsed or separated into distinct sections.
Data Source
AI summary
A system and method for collapsing search results. User input is received to perform a search of a communications network. The search results and multiple selection elements are displayed for removing each of the search results. A user selection of a selection element associated with a search result is received. A determination is made of irrelevant results that are similar to the search result. The search results are collapsed to remove the search result and the irrelevant search results.