Search engine optimizer

• US 8,977,621 B1
• Filed: 02/26/2013
• Issued: 03/10/2015
• Est. Priority Date: 02/24/2000
• Status: Expired due to Fees

• Current Assignee: Richard Paiz
• Original Assignee: Richard Paiz
• Inventors: Paiz, Richard
• Primary Examiner(s): SOMERS, MARC S
• Application Number:
  US13/777,775
• Time in Patent Office: 742 Days
• Field of Search: 707/737, 707/738, 707/740, 707/765, 707/766, 707/767
• US Class Current: 707/738
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

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 provides 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 human brain checkmate combination required to achieve certitude.

Claims

1. A method of executing a word search using a computer operating in accordance with a software program,

providing a software algorithm that mimics the human brain to simulate deductive reasoning, the method comprising steps of:

(a) creating a language based equation, a geospatial based decision, and a human decision equation to interpret numerical and text data and convert the interpreted data into statistical glyphs objects, wherein each statistical glyphs object is a mathematical equation representative of one of a word or a cluster of words used to determine the optimal partition of the Internet,

(b) finding missing gaps of information wherein the missing gaps are at least one omitted word from the word search and the at least one omitted word is determined by applying rules of linguistics and semantics to modify the word search to match one or more clusters of words from known statistical glyphs objects,

(c) dynamically valorizing the weight of each word combination from the entered word search, reorganizing the word search using a human knowledge database, commercializing by assigning a monetary value to each optimal partition of the Internet, and measuring an end user'"'"'s satisfaction by measuring results of a session based query, and

(d) hierarchically prioritizes the statistical glyphs objects as a search pattern used to obtain an optimal match in response to an end user valid request;

assigning a unique value lowest to highest each site and web page;

organizing the Internet environment into a plurality of Super Blocks;

distributing each Super Block using a primary index relationship into blocks;

dividing each block using a secondary index relationship into sub blocks;

subdividing each sub block using a tertiary index relationship into mini blocks;

dissecting each mini block into individual elements;

restricting relevant pages using index relationships;

probabilistically correlating a plurality of spatial environments into an improved environment;

scanning and gathering interactive input from an end user'"'"'s Internet browser to create the word search;

displaying command instruction that eliminate confounding variables from the word search;

receiving an instruction from a user for how to modify the word search;

personalizing the word search in accordance with the decisions from the user executing a set of software instructions to mimic the human brain by finding missing gaps of information, and dynamically valorizing, reorganizing, commercializing, and measuring end user'"'"'s satisfaction; and

personalizing the word search in accordance with the instructions from the user.

2. A method of executing a word search using a computer operating in accordance with a software program mimicking the human brain to simulate deductive reasoning to create a language based equation, a geospatial based decision, a human decision equation to interpret numerical and text data and convert the interpreted data into statistical glyphs objects representing the mathematical equation used to determine the optimal partition of the Internet, and then find the missing gaps of information, and which dynamically valorizes, reorganizes, commercializes, measures end user'"'"'s satisfaction, and hierarchically priorities the Glyphs as a search pattern used to obtain an optimal match in response to an end user valid request, and then displays command instructions that eliminate confounding variables to modify the search pattern in accordance with the instructions from the end user, the method comprising steps of:

assigning a unique value lowest to highest each site and web page;

organizing the Internet environment into a plurality of Super Blocks;

distributing each Super Block using a primary index relationship into blocks;

dividing each block using a secondary index relationship into sub blocks;

subdividing each sub block using a tertiary index relationship into mini blocks;

dissecting each mini block into individual elements;

restricting relevant pages using index relationships;

probabilistically correlating a plurality of spatial environments into an improved environment;

scanning and gathering interactive input from an end user'"'"'s Internet browser to create a word search;

displaying command instruction that eliminate confounding variables from the word search;

receiving an instruction from a user for how to modify the word search;

personalizing the word search in accordance with the instructions from the user;

processing the impact the word search to create an equation that substantially shrinks the size of the search environment by purifying the search process by using at least one index relationship; and

assigning to the word search a dominant tendency of a brain and an anchor glyph that yields the destination;

synergistically combining for the request the dominant tendency of the brain and the anchor glyph to select a search strategy that creates a managerial hierarchical set.

3. The method according to claim 2, further comprising a step of modifying the word search by:

identifying for the word search the best search pattern within the search pattern database to create a statistical profile that is a statistical representation of the preprocessed calculated results that are sent to the end user'"'"'s Internet browser as output; and

immediately updating with output the end user'"'"'s Internet browser with statistical information that quantifies and qualifies the precision of a mathematical equation.

4. The method according to claim 3, further comprising steps of:

scanning and gathering assisted input from an the end user'"'"'s Internet browser to create an assisted search;

displaying command instruction that eliminate confounding variables from the assisted search;

receiving an instruction from a user for how to modify the assisted search; and

personalizing the assisted input in accordance with the decisions from the user.

5. The method according to claim 4, further comprising steps of:

processing the impact the assisted search to create an equation that substantially shrinks the size of the search environment by purifying the search process by using at least one index relationship; and

assigning to each the assisted search a dominant tendency of the brain and anchor glyph that yields the destination;

synergistically combining for the request the dominant tendency of the brain and the anchor glyph to select a search strategy that creates the managerial hierarchical set.

6. The method according to claim 5, further comprising a step of:

modifying the assisted search by;

identifying for the assisted search the best search pattern within the search pattern database to create a statistical profile that is a statistical representation of the preprocessed calculated results that are sent to the end user'"'"'s browser as output; and

immediately updating with output the end user'"'"'s browser with statistical information that quantifies and qualifies the precision of the mathematical equation.

7. The method according to claim 6, further comprising the steps of:

scanning and gathering smart input from the end user'"'"'s Internet browser to create a smart search;

displaying command instruction that eliminate confounding variables from the smart search;

receiving an instruction from a user for how to modify the smart search; and

personalizing the smart input in accordance with the decisions from the user.

8. The method according to claim 7, further comprising the steps of:

processing the impact the smart search to create an equation that substantially shrinks the size of the search environment by purifying the search process by using at least one index relationship;

assigning to the smart search a dominant tendency of the brain and anchor glyph that yields the destination; and

synergistically combining for the request the dominant tendency of the brain and the anchor glyph to select a search strategy that creates the managerial hierarchical set.

9. The method according to claim 8, further comprising the step of:

modifying the smart search by;

identifying for the smart search the best search pattern within the search pattern database to create a statistical profile that is a statistical representation of the preprocessed calculated results that are sent to the end user'"'"'s browser as output; and

immediately updating with output the end user'"'"'s browser with statistical information that quantifies and qualifies the precision of the mathematical equation.

10. The method according to claim 9, further comprising the steps of:

scanning and gathering personal input from the end user'"'"'s Internet browser to create a direct search;

displaying command instruction that eliminate confounding variables from the direct search;

receiving an instruction from a user for how to modify the direct search; and

optimizing the personalize input in accordance with the decisions from the user.

11. The method according to claim 10, further comprising the steps of:

processing the impact the direct search to create an equation that yields the final destination; and

assigning to the direct search a managerial hierarchical set.

12. The method according to claim 11, further comprising the step of:

modifying the direct search by;

creating a statistical profile that is a statistical representation of the preprocessed calculated results that are sent to the end user'"'"'s browser as output; and

immediately updating with output the end user'"'"'s browser with statistical information that quantifies and qualifies the precision of the mathematical equation.

13. A method of executing a word search using a computer operating in accordance with a software program, providing a software algorithm that mimics the human brain to simulate deductive reasoning by including steps of:

(a) creating a language based equation, a geospatial based decision, and a human decision equation to interpret numerical and text data and convert the interpreted data into statistical glyphs objects, wherein each statistical glyphs object is a mathematical equation representative of one of a word or a cluster of words used to determine the optimal partition of the Internet,

(b) finding missing gaps of information wherein the missing gaps are at least one omitted word from the word search and the at least one omitted word is determined by applying rules of linguistics and semantics to modify the word search to match one or more clusters of words from known statistical glyphs objects,

(c) dynamically valorizing the weight of each word combination from the entered word search, reorganizing the input using the human knowledge database, commercializing by assigning a monetary value to each optimal partition of the Internet, and measuring an end user'"'"'s satisfaction by measuring results of a session based query,

(d) hierarchically prioritizes the statistical glyphs objects as a search pattern used to obtain an optimal match in response to an end user valid request;

(e) identifying the search pattern using the Glyph database; and

(f) displaying an optimal match in response to an end user valid request.

14. The method according to claim 13, further comprising a step of:

creating the Glyph database using an indexing refinement process, the indexing refinement process comprising steps of;

(a) assigning a unique value lowest to highest each site and web page;

(b) organizing the Internet environment into a plurality of super blocks;

(c) distributing each Super Block using a primary index relationship into blocks;

(d) dividing each block using a secondary index relationship into sub blocks;

(e) subdividing each sub block using a tertiary index relationship into mini blocks;

(f) dissecting each mini block into individual elements; and

(g) processing the impact of the word search to create an equation that maps an optimal partition of the Internet by purifying the search process using at least one nested index relationship and probabilistically restrict relevant pages.

15. The method according to claim 13, further comprising steps of:

displaying command instruction that eliminate confounding variables from the word search, wherein executing a set of software instructions based on rules of linguistics and semantics using the Glyph database;

receiving an instruction from a user for how to modify the word search; and

personalizing the word search in accordance with the instructions from the user.

16. The method according to claim 13, further comprising steps of:

obtaining Global Positioning System (GPS) coordinates of the present location of the end user'"'"'s console;

wherein the step of determining and assigning the optimal partition of the Internet uses a nested index relationship of the GPS coordinates to probabilistically restrict relevant pages to map an improved environment; and

employing at least one nested index relationship that yields the destination used to obtain an optimal match to an end user valid request.