Search Engine Optimizer Using Hierarchical Keyword Segmentation
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Solution Overview
Problem
Current search engines face limitations in managing the vast amount of information on the internet, leading to redundancy, latency, and exponential complexity, with Boolean Algebra-based algorithms failing to accurately rank results due to keyword redundancy and the inability to handle multiple related searches effectively.
Innovation Solution
The Cholti Search Engine Optimizer employs a hierarchical managerial system (Managerial Pyramid Switch) that categorizes keywords into Superset, Set, and Subset tiers, using Hot and Cold Algorithms to reduce the search environment size, and Deductive Reasoning to insert missing information and rank pages based on user intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If Boolean Algebra eigenvector algorithms are used to search through 30 billion unique pages, then search results can be generated, but the system experiences exponential complexity growth and redundancy as the environment size increases
Solution Approach 1:
The patent divides the search environment into three hierarchical tiers: global domain (MPSTM nodes), regional domain (SISTM nodes), and local domain (TWSTM nodes). This segmentation allows the system to manage 30 billion pages by organizing them in a structured hierarchy, reducing the complexity of processing the entire environment at once while maintaining comprehensive search coverage.
Solution Approach 2:
The patent introduces a hierarchical dimensional structure to the search environment, organizing pages not just by traditional Boolean filtering but by spatial-domain tiers. This adds a new dimension of organization that enables efficient navigation and reduction of the search space from 30 billion pages to manageable subsets at each hierarchical level.
2Productivity
If traditional Boolean Algebra search patterns are used, then single request-to-one reply searches can be processed, but the system cannot effectively handle multiple related searches and user surfing patterns
Solution Approach 1:
The patent creates a search system that can handle multiple search patterns universally. The hierarchical structure and vector-based approach enable the same system to process single requests, multiple related searches, and random surfing patterns effectively. The system adapts its behavior based on the search pattern detected while using the same underlying hierarchical framework.
Solution Approach 2:
The patent introduces dynamic adaptation to the search system. By detecting the type of search pattern (single request, multiple related searches, or random surfing) and adjusting the processing approach accordingly, the system maintains high productivity across different scenarios. The dynamic nature allows the system to optimize its response based on user behavior without requiring separate processing paths for each pattern type.
3Measurement precision
If keyword combinations are used to improve search accuracy, then better results can be obtained, but redundant keywords can confound the search and hide optimal results
Solution Approach 1:
The patent extracts and removes redundant keywords from the search query processing. By identifying and eliminating redundant keyword elements, the system prevents these keywords from confounding the search results. This extraction process ensures that only meaningful, non-redundant keywords contribute to the search vector, maintaining high accuracy while preventing interference from redundant terms.
Solution Approach 2:
The patent converts the potential harm of redundant keywords into a benefit by using the hierarchical structure to identify and filter them out. The redundant keywords, rather than confounding the search, are systematically removed through the hierarchical processing, allowing the optimal results to emerge more clearly. This transformation turns the problematic redundancy into a controlled filtering mechanism that improves result quality.
4Device complexity
If the search environment is organized into hierarchical tiers, then redundancy and complexity can be reduced, but the system requires sophisticated organization and distribution infrastructure
Solution Approach 1:
The patent implements a nested hierarchical structure where global domain nodes contain regional domain nodes, which in turn contain local domain nodes. This nesting approach organizes the 30 billion pages in a compact, manageable hierarchy. The nested structure allows the system to inherit and reuse organizational frameworks at different levels, reducing the overall implementation complexity despite the sophisticated organization required.
Data Source
AI summary
A search engine optimizer that works independently and in parallel with a browser and search engine supercomputer to gather, analyze, and distill input information interactively. The optimizer reorganizes the input, and providing an optimized version as an output. The optimized version of the input (e.g. output) is sent to the search engine, which responds to the end user with search results. The optimizer recognizes each request as a pattern and stores the pattern in an advanced Glyph format. This permits the optimizer to identify a left and right side checkmate combination required to achieve certitude.