Granted Patent B1

US 12,737,353 · App. 18/361,862 · Granted Sep 15, 2026

Inventor: Richard Paiz (N. Miami Beach, FL)

G06F16/243G06F16/951H04L67/52H04L67/02

Abstract

Claims (117)

1 . An evolving system, comprising supercomputer clusters having supercomputer cluster subject layer searching capabilities, that continuously scans and gathers information from, understands, and interacts with the Internet environment, each cluster comprising one or more computers and one or more data warehouses executing a Codex comprising a set of informatics instructions to perform operations forming a distributed massive scale subject layer neural network knowledge database, storing each recognized English language search pattern, and each recognized geospatial search pattern used to parse and filter the Internet, the system comprising:

a plurality of web crawler per supercomputer cluster converting in real time the raw data of each Page into primed data for monitoring and evaluation;

a search engine;

at least one Link Database assigning a unique content and ranking probability value to each nonduplicative website, and page on the Internet;

at least one historical profile for each end user;

a Codex comprising an instruction set adapted to be executed by the evolving system, wherein the Codex instructs the evolving system to automatically perform operations coordinating a plurality of non-transitory end user computing devices storage media encoded with an artificial intelligence Search Engine Optimizer (SEO), comprising the steps of:

interactively interpreting and transforming numerical and text data and recognized human based decisions into a search pattern, by the SEO;

determining, an optimal search pattern, by searching said Codex is:

(i) assisted input: comprising the first subject layer of index refinement by searching the link database and automatically removing from the calculation web pages not belonging to one of reference source and statistically significant quality sites;

(ii) smart input: comprising the second subject layer of index refinement by performing a set of instructions, by the SEO based on the computing device latitude and longitude that determines geospatial data in a hierarchical format that cause the evolving system, to remove from the calculation web pages based on actual distance and adjusting webpages Site rank based actual distance; and

(iii) personal input: comprising the Nth subject layer of index refinement: performing a set of instructions, by the evolving system, adjusting webpages Site probability based on the content matching usage pattern of behavior of the end user's historical profile;

determining, by the search engine given the optimal search pattern, an output comprising the highest value webpages, and sites, in an order from highest to lowest to the end user and the SEO interactively providing in response to the search pattern including:

performing a set of instructions, by the SEO, that cause the SEO to generate search interface resource that includes a search pattern input field; and

determining, by the evolving system, search pattern suggestions, by searching said Codex given the optimal search pattern, wherein each suggestion, upon user selection from the search interface resource, is processed by the Evolving System as an end user one of communication, dialogue and usage pattern of behavior, and wherein the search pattern suggestions are provided to the client device with the search interface resource without a request for the search patterns suggestions from the computing device SEO client program.

2 . The system of claim 1 , wherein the set of computers further performs the steps of:

determining an optimal search pattern, interactively interpreting and transforming the input by the computing device SEO, to one of autocomplete, inserting missing gaps of information, and correcting the search pattern by searching the computing device SEQ local database; and

upon a positive determination, generating a search interface resource that includes the optimal search pattern input field.

3 . The system of claim 2 , wherein further performing the steps of:

determining, an optimal search pattern, interactively interpreting and transforming the input by the computing device SEO to a personal input, by searching the end user profile; and upon a positive determination, generating a search interface resource that includes an optimal search pattern input field.

4 . The system of claim 1 , wherein further performing the steps of:

determining an optimal search pattern, interactively interpreting and transforming the input, by the evolving system, to one of autocomplete, insert missing gaps of information, and correcting the search pattern by searching said Codex;

and upon a positive determination, generating a search interface resource that includes one of autocomplete, inserting missing gaps of information, and correcting the optimal search pattern input field.

5 . The system of claim 1 , wherein further performing the steps of:

analyzing the output, by the evolving system given the optimal search pattern first subject layer of index refinement, from the highest value webpages, and sites:

determining from the output valid categories by searching said knowledge database;

interpreting and transforming, the optimal search pattern using set theory interpretations based on categories to identify statistically significant search pattern natural variants suggestions; and providing statistically significant search pattern natural variants suggestions to the client device with the search interface resource without a request for the search pattern natural variants suggestions from the computing device SEO.

6 . The system of claim 1 , wherein comprising further performing the steps of:

analyzing the output, by the evolving system given the optimal search pattern second subject layer of index refinement, from the highest value webpages, and sites:

setting end user's computing device GPS coordinates as the center point to render and display direction map objects;

interpreting and transforming using set theory and distance, the optimal search pattern to map objects using location specific GPS coordinates and identifying statistically significant optimal search pattern natural variant suggestions; and

providing the optimal search pattern natural variants suggestions to the client device with the search interface resource without a request for the optimal search pattern natural variants suggestions from the end user's computing device.

7 . The system of claim 6 , wherein further performing the steps of:

analyzing the output, by the evolving system given the optimal search pattern third subject layer of index refinement, from the highest value webpages, and sites:

setting end user's computing device GPS coordinates as the center point to render and display direction map objects

using one of transportation means and shopping cart time sensitive conditions;

providing optimal search pattern natural variant suggestions to the client device with the search interface resource without a request for one of the search pattern and natural variants suggestions from the end user's computing device.

8 . A method of simulating an evolving system, comprising:

supercomputer clusters having supercomputer cluster subject layer searching capabilities, that continuously scans and gathers information from, understands, and interacts with the Internet environment, each cluster comprising one or more computers and one or more data warehouses executing a Codex comprising a set of informatics instructions to perform operations forming a distributed massive scale subject layer neural network knowledge database—storing each recognized English language search pattern, and each recognized geospatial search pattern used to parse and filter the Internet, the system comprising:

a plurality of web crawler per supercomputer cluster converting in real time the raw data of each Page into primed data for monitoring and evaluation;

a search engine;

at least one Link Database and assigning a unique content and ranking to each nonduplicative website, and page on the Internet;

at least one historical profile for each end user;

Codex comprising an instruction set adapted to be executed by the evolving system, wherein the Codex instructs the evolving system to automatically perform operations coordinating a plurality of non-transitory end user computing devices storage media encoded with an artificial intelligence Search Engine Optimizer, (SEO), comprising the steps of:

interactively interpreting and transforming numerical and text data and recognized human based decisions into a search pattern, by the SEO;

determining; an optimal search pattern, by searching said Codex is:

(i) one of assisted input and first subject layer of index refinement;

(ii) one of smart input and second subject layer of index refinement; and

(iii) one of personal input and Nth subject layer of index refinement;

determining and furnishing, by the search engine given one of the optimal search pattern and natural variants, an output comprising the highest value webpages, and sites, in an order from highest to lowest to the end user and the SEO interactively providing-in response one of the search pattern and natural variants including:

performing a set of instructions, by the SEO, that cause the SEO—to generate search interface resource that includes a one of the search pattern input field; and

determining, by the evolving system, one of the search pattern and natural variants suggestions, by searching said Codex, wherein each one of the search pattern and natural variants suggestion, upon user selection from the search interface resource, is processed by the evolving system as an end user one of communication, dialogue and usage pattern of behavior, and wherein the one of the search pattern and natural variants suggestions are provided to the client device with the search interface resource without a request for the one of the search pattern and natural variants suggestions from the computing device SEO.

9 . The method of claim 8 , wherein further performing the steps of:

determining, an optimal search pattern, interactively interpreting and transforming the input by the computing device SEO, to one of autocomplete, inserting missing gaps of information, and correcting the search pattern by searching the computing device SEO local database; and

upon a positive determination, generating a search interface resource that includes a the optimal search pattern input field.

10 . The method of claim 8 wherein further performing the steps of:

determining an optimal search pattern, interactively interpreting and transforming the input by the evolving system to one of autocomplete, insert missing gaps of information, and correcting the search pattern by searching said Codex; and

upon a positive determination, generating a search interface resource that includes the optimal search pattern input field.

11 . The method of claim 10 , wherein further performing the steps of:

determining, by the evolving system, a natural variant given the search pattern by searching said Codex is one of:

(i) one of assisted input and first subject layer of index refinement: by automatically removing from the calculation web pages not belonging to reference sources;

(ii) one of smart input and second subject layer of index refinement: inserting the real time GPS coordinates, that cause the evolving system, removing from the calculation web pages based on actual distance and adjusting webpages Site rank probability based one of actual distance and significant time sensitive conditions; and

(iii) one of personal input and Nth subject layer of index refinement: adjusting webpages Site rank probability based on the content matching usage pattern of behavior of the end user's historical profile.

12 . The method of claim 11 , wherein further performing the steps of:

determining from the output valid categories—by searching said Codex;

interpreting and transforming, the assisted input using set theory interpretations based on categories to identify statistically significant search pattern suggestions; and

providing search pattern suggestions to the client device with the search interface resource without a request for the search patterns suggestions from the computing device SEO.

13 . The method of claim 11 , wherein further performing the steps of:

setting end user's computing device GPS coordinates as the center point to render and display direction map objects;

interpreting and transforming using set theory and distance, the search pattern to map objects using location specific GPS coordinates and identifying statistically significant one of the search pattern and natural variants suggestions; and

providing the one of search pattern and natural variants suggestions to the client device with the search resource without a request for the search patterns suggestions from the end user's computing device.

14 . The method of claim 13 , wherein further performing the steps of:

setting end user's computing device GPS coordinates as the center point to render and display direction map objects;

assigning map objects using one of transportation means and shopping cart time sensitive conditions; and

providing one of the search pattern and natural variants suggestions to the client device with the search resource without a request for one of the search pattern and natural variants suggestions from the end user's computing device.

15 . An evolving system, comprising supercomputer clusters having supercomputer cluster subject layer searching capabilities, that continuously scans and gathers information from, understands, and interacts with the Internet environment, each cluster comprising one or more computers and one or more data warehouses executing a Codex comprising a set of informatics instructions to perform operations forming a distributed massive scale subject layer neural network knowledge database, storing each recognized English language search pattern, and each recognized geospatial search pattern used to parse and filter the Internet, the system comprising:

a plurality of web crawler per supercomputer cluster converting in real time the raw data of each Page into primed data for monitoring and evaluation;

a search engine;

at least one Link Database and assigning, a unique content and ranking to each nonduplicative supersite, website, and page on the Internet;

at least one historical profile for each end user;

Codex comprising an instruction set adapted to be executed by the evolving system, wherein the Codex instructs the evolving system to automatically perform operations coordinating a plurality of non-transitory end user computing devices storage media encoded with an artificial intelligence Search Engine Optimizer, (SEO), comprising the steps of:

interactively interpreting and transforming numerical and text data and recognized human based decisions into one of a search pattern and corresponding natural variants;

determining and furnishing, by the search engine given one of the search pattern and natural variants, an output comprising the highest value webpages, and sites, in an order from highest to lowest to the end user and the evolving system interactively providing to the SEO in response one of the search pattern and natural variants including:

performing a set of instructions, by the computing device SEO, that cause the computing device SEO, to generate search interface resource that includes a one of the search pattern and natural variants input field;

performing by the evolving system using topological semantics, given a search pattern, searching said Codex and performing the steps of:

(i) assigning at least one relevant category;

(ii) mapping statistically significant topological semantic constructs using rules of likelihood from the First Variance sample analysis of the top (n) results to identify search pattern suggestions;

(iii) mapping statistically significant topological semantic constructs using rules of associative analysis to identify keyword associations;

(iv) from the Second Variance sample analysis of the top (n) results that become natural variants of the search;

(v) mapping statistically significant topological semantic constructs using rules of transitivity that gain factor the value of the content based on the Third Variance sample analysis that become natural variants;

determining, by the evolving system, one of the search pattern and natural variants suggestions, by searching said Codex, wherein each one of the search pattern and natural variants suggestion, upon user selection from the search interface resource, is processed by the evolving system as an end user one of communication, dialogue and usage pattern of behavior, and wherein the one of the search pattern and natural variants suggestions are provided to the client device with the search resource without a request for the one of the search pattern and natural variants suggestions from the computing device SEO.

16 . The system of claim 15 , wherein further performing the steps of:

identifying an assisted input search pattern;

setting webpages that are located in statistically significant site quality partitions as relevancy and removing all webpages from calculation that are irrelevancy; and

determining, by the search engine given the search pattern, an output comprising the highest adjusted webpage value, and sites, in an order from highest to lowest to the end user.

17 . The system of claim 15 , wherein further performing the steps of:

identifying a smart input search pattern and setting the end user's computing device GPS coordinates as the center point to render and display direction map objects;

setting webpages that are located beyond X miles of the user's computing device GPS (X, Y, Z) coordinates as one of non-statistically significant and irrelevancy;

determining the adjusted webpage value that are located within X miles of the user's computing device GPS (X, Y, Z) coordinates given a search pattern performing the steps of:

(i) scaling a site rank probability based on map objects proximity;

(ii) scaling a site rank probability based on map objects content value probability;

(iii) scaling a site rank probability based on map objects trending value probability; and

determining and furnishing, by the search engine given the search pattern, an output comprising the highest adjusted value webpages, and sites, in an order from highest to lowest to the end user.

18 . The system of claim 15 , wherein further performing the steps of:

identifying a personal input search pattern;

setting webpages that are located in statistically significant site quality partitions as relevancy and removing all webpages from calculation that are irrelevancy;

performing a set of instructions, by the evolving system, adjusted webpage value based on the content matching usage pattern of behavior of the end user's historical profile; and

determining, by the search engine given the search pattern, an output comprising the highest adjusted value webpages, and sites, in an order from highest to lowest to the end user.

19 . The system of claim 15 , wherein further performing the steps of:

determining, by the search engine, the First Variance sample analysis of the top (n) results given a search pattern an output comprising the highest adjusted webpage value, and sites, in an order from highest to lowest to the end user performing by the evolving system using topological semantics, given a search pattern, searching said knowledge database and performing the steps of:

(i) assigning at least one relevant category;

(ii) mapping statistically significant topological semantic constructs using rules of likelihood from the First Variance sample analysis of the top (n) results using likelihood analysis to identify search pattern suggestions; and

processing, by the evolving system, upon user selection from the search interface resource, is as an end user one of communication, dialogue and usage pattern of behavior, and wherein the search pattern suggestions are provided to the client device with the search resource without a request for the search pattern suggestions from the computing device client program.

20 . The system of claim 19 , wherein further performing the steps of:

performing by the evolving system using topological semantics, given a search pattern, searching said knowledge database and performing the steps of:

(iii) mapping statistically significant topological semantic constructs—from the Second Variance sample analysis of the top (n) results given a search pattern that become natural variants of the search;

(iv) mapping statistically significant semantic constructs—from the Third Variance sample analysis given a search pattern become natural variants;

processing, by the evolving system, upon user selection from the search interface resource, is as an end user one of communication, dialogue and usage pattern of behavior and wherein the one of the search pattern and natural variants suggestions are provided to the client device with the search resource without a request for the one of the search pattern and natural variants suggestions from the computing device SEO.

Continuity (19)

References Cited (352)