Rating System for Search Result Ranking
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Solution Overview
Problem
Current information searching systems, such as search engines, often return numerous irrelevant results due to keyword manipulation by websites, requiring users to manually sift through results to find relevant information, leading to inefficiency in retrieving accurate data.
Innovation Solution
A rating system that allows users to evaluate and comment on knowledgebase items, with secondary evaluations and commentary, which are used to develop a ranking system that prioritizes relevant results based on community feedback, thereby enhancing the relevance of search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines return numerous results based on keyword matching, then the quantity of search results increases, but the relevance and accuracy of results deteriorates due to keyword manipulation by websites
Solution Approach 1:
The patent implements a feedback mechanism where users can rate and comment on search results. This user feedback is then used to adjust the ranking and filtering of future search results, creating a continuous improvement loop that enhances result relevance while maintaining quantity
Solution Approach 2:
The patent introduces an intermediary rating system that acts as a mediator between search engines and users. This intermediary layer filters and ranks results based on community feedback, separating the quantity provision function from the quality assurance function
2Measurement precision
If users manually review each search result to determine relevance, then the accuracy of information retrieval improves, but the time required for information retrieval increases
Solution Approach 1:
The patent applies preliminary action by having users rate and evaluate search results in advance. These pre-evaluations are stored and used to automatically rank future search results, so users don't need to manually review each result for relevance, thus reducing retrieval time while maintaining accuracy
Solution Approach 2:
The system enables self-service by allowing the community to automatically filter and rank search results through their ratings and comments. This collective self-service mechanism replaces individual manual review, reducing time investment while preserving accuracy through crowd-sourced verification
Data Source
AI summary
An embodiment relates generally to a method of searching. The method includes providing for a knowledgebase item and associating a review for the knowledgebase item. The method also includes associating a rating for the knowledgebase item and developing a ranking associated with the knowledgebase item based on at least one the review and the rating. The method further includes displaying the knowledgebase item based on the ranking in subsequent searches that include the knowledgebase item.