Keyword Mapping Engine for Web Page Search Relevance
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Solution Overview
Problem
Users face difficulty in finding relevant websites among large search results due to challenges in determining the relevancy of web pages to specific keyword searches, especially when web pages do not use the same terms as the search query.
Innovation Solution
A web page optimization engine that includes a keyword mapping engine to generate a keyword map associating keywords with web pages and a map reversal engine to generate a product map associating products with keywords, enabling the inclusion of relevant keywords in web pages to improve search engine ranking and user relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated ranking algorithms are used to rank search results based on web page content and links, then search results can be automatically organized, but the system cannot accurately identify web pages that do not use the same terms as the search query
Solution Approach 1:
The patent introduces an intermediary keyword association system that bridges the gap between search queries and web page content. Instead of directly comparing search terms with web page text, the system uses an intermediary layer of associated keywords and terms that connect user search intent with relevant web page content, enabling automated ranking to work more effectively despite terminology mismatches
Solution Approach 2:
The system changes the parameters used for relevancy determination by moving beyond exact term matching to include associated keywords, semantic relationships, and contextual relevance factors. This allows the automated ranking algorithm to evaluate web pages based on multiple parameters including keyword associations, content relevance, and user behavior data rather than relying solely on exact term presence
2Quantity of substance
If the number of search results is increased to provide more comprehensive coverage, then more relevant information may be found, but the difficulty of finding relevant websites increases due to the large number of pages
Solution Approach 1:
The patent applies segmentation by organizing the large volume of search results into structured groups and categories based on keyword associations and relevance metrics. Instead of presenting a flat list of numerous results, the system segments results into manageable pages and categories, making it easier for users to navigate and find relevant information without being overwhelmed by the total quantity of results
Solution Approach 2:
The system performs preliminary action by pre-processing and pre-organizing search results according to keyword associations and relevance criteria before presentation to the user. Web pages are pre-tagged with associated keywords and pre-ranked based on relevance algorithms, so that when users search, the results are already organized and optimized for ease of finding relevant information
3Manufacturing precision
If web pages use specific terms to describe products and services, then the content is accurate and meaningful, but the web pages may not be identified as relevant when users search with different terminology
Solution Approach 1:
The patent applies universality by making web page content accessible through multiple keyword associations and terminology variants. Instead of relying on a single set of terms, the system enables web pages to be associated with multiple related keywords and search terms, allowing the same accurate content to be discovered through different user search terminology while maintaining content precision
Data Source
AI summary
A web page optimization engine for optimizing a web page is described. The web page optimization engine includes a keyword mapping engine configured to generate a keyword map including a listing of keywords, where each keyword is associated with one or more web pages. The web page optimization engine further includes a map reversal engine configured to generate a web page map including a listing of web page subject matters, where each web page subject matter is associated with one or more keywords based on the associations from the keyword map. The web page optimization engine yet further includes a web page generation engine configured to generate a web page for a web page subject matter in the web page map to include at least one of the one or more keywords for that web page subject matter.