Custom Search Index Segmentation for Personalized Ranking
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Solution Overview
Problem
Current search engines face challenges in providing relevant and personalized search results due to the vast amount of information on the web, as they rely on a single search index that ignores user-specific preferences and feedback, leading to generic rankings that may not accurately reflect the quality or relevance of custom content.
Innovation Solution
The method involves creating a custom search index for user-uploaded content, which allows for personalized ranking based on user annotations, usage patterns, and feedback, enabling more precise and relevant search results by separating custom content from the general web search index and using distinct ranking algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single search index is used for all web documents, then the search engine can process vast amounts of information efficiently, but the search results become generic and fail to reflect user-specific preferences or content quality
Solution Approach 1:
The patent divides the monolithic search index into multiple specialized indices: a first search index for general web documents and a second search index for custom content. This segmentation allows each index to be optimized for its specific purpose, with the second index capturing user preferences and content quality metrics that would be lost in a single unified index.
Solution Approach 2:
The patent applies local quality by creating a custom search index specifically for custom content that incorporates user-specific preferences, annotations, and feedback. This localized index ensures that custom content is ranked according to its actual relevance to the user, rather than using a generic ranking algorithm applied uniformly to all web documents.
2Measurement precision
If generic ranking algorithms are used for all search results, then the search engine maintains simplicity and speed, but the rankings fail to accurately reflect the quality and relevance of custom content to individual users
Solution Approach 1:
The patent implements local quality by developing a specialized ranking algorithm for the second search index that incorporates user-specific preferences, annotations, and feedback. This localized ranking approach accurately assesses the quality and relevance of custom content to individual users, rather than relying on a generic ranking algorithm.
Solution Approach 2:
The patent incorporates feedback mechanisms where users can provide annotations and feedback on custom content. This feedback is stored in the second search index and used to refine the ranking algorithm, allowing the system to continuously improve its ability to assess content quality and relevance based on actual user preferences.
3Adaptability or versatility
If user-specific preferences and feedback are incorporated into the search system, then search results become more personalized and relevant, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the search system into two independent search indices: a first search index for general web documents and a second search index for custom content with user-specific preferences. This segmentation allows the system to maintain personalization capabilities for custom content while keeping the overall architecture manageable and separable from the general web search functionality.
Solution Approach 2:
The patent implements universality by allowing the search engine to handle both general web search queries and custom content search queries within a single unified system. The second search index can be used for both individual user preferences and shared organizational content, providing multi-functionality that reduces the need for separate specialized systems.
4Measurement precision
If custom content is indexed separately from web documents, then user-specific preferences can be captured accurately, but the integration and combination of results from different indices becomes more complex
Solution Approach 1:
The patent segments the search index into a first search index for general web documents and a second search index for custom content. This segmentation enables accurate capture of user preferences in the second index while maintaining a simple structure for integrating results, as each index can be queried independently and results combined based on query type.
Solution Approach 2:
The patent achieves universality by designing the search engine to seamlessly handle both general web search and custom content search within a single unified architecture. The system can query either or both indices based on the search query, and combine results in a consistent manner, reducing the complexity of integration compared to maintaining separate independent systems.
Data Source
AI summary
A system searches a first search index based on a search query to obtain first search results and searches a second search index based on the search query to obtain second search results. The system further ranks the first search results using a first ranking algorithm and one or more first ranking parameters to produce ranked first search results, and ranks the second search results using a second ranking algorithm and one or more second ranking parameters to produce second search results, where the one or more first ranking parameters are different than the one or more second ranking parameters and where the one or more second ranking parameters include at least one of previous user feedback associated with custom content that corresponds to the second search index, annotations of the custom content provided by a user, or usage patterns associated with users previously accessing and searching the custom content. The system also provides the ranked first and second search results to a user.