Search Result Filtering via User Feedback Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search engines overwhelm users with large sets of search results, making it difficult to identify relevant information as users often lack the time or desire to sift through numerous irrelevant or unwanted results, potentially leading to missed important information.
Innovation Solution
The system allows users to indicate unwanted search results, which are then removed from the list, along with similar results, using user feedback mechanisms, enabling users to refine their search results more efficiently and focus on pertinent information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines return comprehensive search results, then the quantity of information available increases, but the time required for users to find relevant information increases
Solution Approach 1:
The patent extracts and removes unwanted search results from the comprehensive result set based on user feedback. The system identifies patterns in user removal behavior and automatically filters out similar unwanted results, extracting only the relevant information that users actually need while maintaining comprehensive coverage of useful content.
Solution Approach 2:
The patent implements a feedback mechanism where user actions (removing unwanted results) are captured and used to improve subsequent search results. The system learns from user feedback patterns and automatically adjusts the search result set to better match user preferences, reducing the time needed to find relevant information while maintaining comprehensive coverage.
2Loss of information
If search engines provide detailed search results, then the completeness of information increases, but the complexity of processing results increases
Solution Approach 1:
The patent enables the search system to automatically process and refine results based on user feedback without requiring manual intervention. The system self-adjusts by identifying patterns in user removal behavior and automatically filtering similar unwanted results, maintaining information completeness while reducing processing complexity through automated pattern recognition.
3Measurement precision
If users manually filter search results, then the precision of relevant information increases, but the effort required from users increases
Solution Approach 1:
The patent performs preliminary filtering actions automatically based on initial user feedback. Instead of requiring users to manually filter each result, the system proactively removes unwanted results and similar patterns in advance, achieving high precision while minimizing user effort through automated preliminary processing.
Solution Approach 2:
The patent introduces an intermediary automated filtering system that mediates between the comprehensive search results and the user. This intermediary layer automatically processes user feedback and filters results based on learned patterns, achieving precise filtering without requiring direct user involvement in the filtering process.
Data Source
AI summary
In accordance with some embodiments, processes and interfaces provide for enhancing search results of a group research project. For example, members of a group may be provided with information regarding other group member's search activities and/or be restricted from viewing certain search results (e.g., search results that are most popular with the public for a given search term, that are most popular with the group for the given search term or for the project, and/or search results that are restricted by a group manager).