Collaborative Search Result Filtering Through Unwanted-Result Exclusion
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Solution Overview
Problem
Existing search engines often provide large sets of search results, making it difficult for users to efficiently identify and access relevant information due to the time-consuming process of reviewing numerous irrelevant or unwanted results, which can lead to missing important information.
Innovation Solution
A search tool that allows users to indicate unwanted results, either actively or passively, enabling the system to remove these results and modify the search algorithm to exclude similar results, thereby refining the search output to prioritize relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines provide comprehensive search results, then the quantity of information available increases, but the time required for users to review and identify relevant information increases
Solution Approach 1:
The system performs preliminary actions by having users indicate unwanted results before the final search results are fully processed. The system then uses these indications to pre-filter and modify subsequent search results, saving users time in the future search iterations.
Solution Approach 2:
The system implements feedback mechanisms where user indications of unwanted search results are captured and used to modify the search algorithm. This feedback loop continuously refines search results by learning from user preferences and eliminating unwanted content types.
2Loss of information
If search engines provide extensive search results, then the completeness of information increases, but the difficulty of identifying relevant information increases
Solution Approach 1:
The system extracts and removes unwanted results from the search output based on user indications. By taking out irrelevant or unwanted content, the system maintains completeness of relevant information while reducing the difficulty of identifying what matters.
Solution Approach 2:
Instead of requiring users to actively identify wanted results among many options, the system inverts the approach by having users indicate unwanted results and automatically removing them, thereby simplifying the identification process.
3Measurement precision
If users actively indicate unwanted results, then the precision of search results improves, but the complexity of user interaction increases
Solution Approach 1:
The system enables self-service by allowing users to simply indicate unwanted results without requiring complex interactions. The system then automatically processes these indications and refines search results, making the precision improvement accessible through simple user actions.
4Reliability
If the search algorithm is modified to exclude similar results, then the relevance of search results improves, but the time required to process and modify the algorithm increases
Solution Approach 1:
The system applies partial modification to the search algorithm by focusing on excluding specific types of results based on user indications, rather than completely reprocessing the entire algorithm. This partial action achieves improved relevance with reduced processing time.
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).