Personalized Search Ranking with Lexical and Semantic Result Segmentation
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Solution Overview
Problem
Current online search engines often return overly inclusive, under-inclusive, and distorted search results, failing to provide granular, actionable information that meets user interests and goals, leading to inefficiencies in data transmission, storage, and review time.
Innovation Solution
An AI-driven system that personalizes and customizes search results using user-determined characteristics and customizable parameters, employing lexical and semantic databases to provide granular, actionable information, organized in user-selectable templates for side-by-side comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword searching is used to retrieve documents responsive to query terms, then search results accurately correspond to search terms, but the results do not reflect user's underlying interests and goals
Solution Approach 1:
The patent segments search results into multiple ranked lists, each corresponding to different user interests or goals. Instead of returning a single flat list of results, the system divides results into categorized segments that address different aspects of user needs, allowing users to explore multiple perspectives on their query topic.
Solution Approach 2:
The patent adds a new dimension to search results by incorporating user profile information and interest categories. Rather than only ranking by keyword relevance, the system creates multiple ranking dimensions based on user characteristics, transforming the single-dimensional keyword match into multi-dimensional result sets that reflect both query accuracy and user interests.
2Quantity of substance
If a large number of search results are returned, then comprehensive coverage is achieved, but users cannot review all results in a reasonable period of time
Solution Approach 1:
The system performs preliminary actions by pre-ranking search results into multiple categorized lists before presentation to the user. Each list is pre-organized according to different user interests or result types, so users don't need to manually sort or filter through unorganized results. This preliminary organization significantly reduces the time users need to spend reviewing results.
Solution Approach 2:
By segmenting the large set of search results into multiple smaller, themed ranked lists, the system makes the information more manageable. Users can quickly scan through categorized results and focus on the most relevant segments, rather than wading through a single overwhelming list of all results.
3Quantity of substance
If search results are ranked by third-party link analysis or bidding processes, then comprehensive results are provided, but the rankings are distorted and irrelevant results are over-included
Solution Approach 1:
The patent applies different ranking quality standards to different segments of search results. Each ranked list is optimized for its specific purpose or user interest category, with ranking criteria tailored to that segment's needs. This local optimization ensures high accuracy within each category rather than applying a single distorted ranking method to all results.
Solution Approach 2:
Instead of allowing third-party bidding or link analysis to determine rankings, the patent inverts the approach by using user profiles and query context to drive ranking. The system prioritizes user-specific relevance over commercial or popularity-based metrics, fundamentally reversing the traditional ranking paradigm to eliminate distortion from external factors.
4Quantity of substance
If entire documents are returned as search results, then complete information is provided, but granular or individual clauses cannot be easily compared side-by-side
Solution Approach 1:
The patent segments entire documents into extractable clauses, paragraphs, or key information units while maintaining the ability to present them in organized lists. Users can view both complete documents and specific granular elements, with the system providing navigation between full-text views and segmented comparisons, enabling easy side-by-side analysis of specific provisions while preserving access to complete information.
Data Source
AI summary
A computer server system and method are disclosed for personalization and customization of network search results and rankings, such as for Internet searching. A representative server system comprises: a network interface to receive a query from a user and transmit return queries and search results; a data storage device having a first, lexical database having one or more compilations and templates; and one or more processors configured to access the first database and search a selected compilation using the query to generate initial search results; to comparatively score each selected parsed phrase of the initial search results, for each classification of a selected template and a selected compilation, and to output initial and final search results arranged according to the classifications and the predetermined order of the template. A representative embodiment may also include use of a second, semantic database having multi-dimensional vectors corresponding to parsed phrases, paragraphs, or clauses.