Expert Thread Search Ranking for Relevant Navigation
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Solution Overview
Problem
Current search algorithms prioritize websites based on traffic volume, resulting in thousands of irrelevant search results without guidance on how to navigate the content effectively.
Innovation Solution
Implement a system that utilizes expert search threads, where experts curate and rank their search paths based on user interactions, integrating these threads with search results to guide users through relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search algorithms rank results based on traffic volume, then the quantity of search results is large, but the relevancy of search results deteriorates
Solution Approach 1:
The patent introduces 'expert threads' as intermediary elements that connect users to curated search results. These threads are created by experts who organize and annotate search results, serving as a mediator between the raw search results and the user. This resolves the contradiction by maintaining a large quantity of results while improving relevancy through expert curation and organization.
Solution Approach 2:
The patent applies preliminary action by having experts pre-curate, organize, and annotate search results before they are presented to users. The expert threads are prepared in advance with selected results, annotations, and navigation structures, so that when users search, they immediately receive high-quality, pre-processed results rather than raw uncurated data.
2Quantity of substance
If search algorithms provide vast amounts of data, then the quantity of information is large, but the ease of operation deteriorates
Solution Approach 1:
The patent segments the vast amount of search data into organized 'expert threads' that divide information into manageable, topic-specific collections. Each thread contains curated results on a particular aspect of the search topic, allowing users to navigate through segmented, organized information rather than overwhelming raw data.
Solution Approach 2:
Expert threads serve as intermediary structures that organize and present vast amounts of data in an easily navigable format. The threads provide a curated pathway through the information, with expert-selected results and annotations that guide users through complex topics without requiring them to manually filter through all available data.
3Extent of automation
If search results are ranked by visitor count, then the automation of ranking is high, but the quality of search guidance deteriorates
Solution Approach 1:
The patent applies preliminary action by having experts perform curation and annotation work before results are presented to users. This preliminary expert action preserves domain knowledge and guidance that would otherwise be lost in fully automated systems, while still allowing automated search algorithms to retrieve and present the results.
Solution Approach 2:
The patent introduces expert threads as an intermediary layer between automated search algorithms and users. The automated systems retrieve and rank results, but the expert threads provide an additional layer of curation, organization, and annotation that preserves expert guidance and domain knowledge, preventing the loss of quality information.
Data Source
AI summary
Systems and methods are provided for providing search results. An expert search thread associated with a search term is received. A first query from a first user based on the search term is received, and a set of results to the first query is provided, where the set of results includes the expert search thread. A credibility score is determined for the expert search thread. A second query is received from a second user based on the search term. A placement of the expert search thread in a set of results for the second query is determined based on the credibility score for the expert search thread, and the set of results for the second query is provided to the second user.