Parallel computer network and method for real time financial resource management, inventory control, and online purchasing

• US 8,676,667 B1
• Filed: 04/21/2010
• Issued: 03/18/2014
• 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): FELTEN, DANIEL S
• Application Number:
  US12/764,934
• Time in Patent Office: 1,427 Days
• Field of Search: 705/36.R, 705/26.63, 705/14.49, 707/737, 707/709, 707/706
• US Class Current: 705/26.63
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

A method for simulating the entire superset of potential valid keyword regular expression requests constructed during an Internet browser search and converting the result sets into Environmental summary report to enable efficient and accurate searching without requiring Browser Engine supercomputer cluster searching capabilities.

Claims

1. A hierarchical method for indexing and searching web pages, the method comprising the steps of:

establishing a webpage database of Internet webpages via a server which are searched by the server having access to the Internet;

wherein the server executes a set of software instructions to search the webpage database for the Internet webpages;

providing a word database of a majority of recognized words respective to a specific language wherein the word database is in signal communication with the server;

establishing a quantitative hierarchical value for each of the words in the word database according to a frequency of occurrences of each of the words in the webpage database, wherein each word is related to a quantitative value between a lowest value and a highest value having a relationship where the lowest value is respective to the highest occurrence rate and the highest value is respective to the lowest occurrence rate, wherein the quantitative hierarchical value for each of the words is assigned by the server based upon the set software instructions;

establishing a set of predetermined semantic guidelines for said language by characterizing said language into distinct grammatical categories wherein the predetermined semantic guidelines for said language is in signal communication with the server;

searching, analyzing, and indexing a plurality of web pages within the webpage database, indexing each web page via the server by executing the set of software instructions as follows;

searching each web page for each word having a highest relative quantitative value and establishing a first index relationship between the identified word and the web page;

searching each web page for each word having a second highest relative quantitative value and establishing a second index relationship between the identified word and the web page, wherein the second index relationship is a subset of the first index relationship and eliminating from calculation any web page not having the first index relationship;

searching each web page for each word having a third highest relative quantitative value and establishing a third index relationship between the identified word and the web page, wherein the third index relationship is a subset of the second index relationship and eliminating from calculation any web page not having the second index relationship and eliminating from calculation any web page not having the third index relationship;

repeating the searching steps while continuing with words following a downward trend for each relative quantitative (nth) value until reaching words having the lowest quantitative value and indexing the website with each identified matching word with a respective (nth) level index relationship between the identified word and the web page, wherein each identified matching word respective relative quantitative (nth) value is added to the files unique value; and

picking the top (n) web pages in ascending order from highest to lowest adjusted value, wherein the picking is performed according to the web pages having the highest relative quantitative value, wherein the step of picking the top webpages is performed by the set of software instructions executed by the server.

2. A hierarchical method as recited in claim 1, further comprising the steps of:

searching for a listing of web pages from the webpage database by entering a single word as a basis for a search, the searching is performed by the server executing the set of software instructions;

determining the respective index level associated with the single word according to the frequency of occurrences of each of the words in the webpage database, wherein the respective index level is determined by the server executing the set of software instructions; and

returning a listing of web pages containing the search word based upon the respective index level associated with the single word, wherein the returning of the list of web pages is accomplished by the server in accordance with the instruction set provided by software.

3. A hierarchical method as recited in claim 1, further comprising the steps of:

searching for a listing of web pages from the webpage database by entering a plurality of search words as a basis for a search, wherein the searching is performed by the server executing the set of software instructions;

determining the respective index level associated with each individual word according to the frequency of occurrences of each of the words in the webpage database, wherein the respective index level associated with each individual word is determined by the set of software instructions executed by the server;

determining a first search word as being the word with the highest relative quantitative value from the plurality of search words, wherein the first search word having the highest quantitative value is equal to the search word having the highest frequency of occurrence, wherein the step is accomplished by the set of software instructions executed by the server;

searching for a first word index of web pages containing the first search word, wherein the first word index of web pages containing the first search word is identified by the server in accordance with the instruction set provided by software;

determining a second search word as being the word with the second highest relative quantitative value from the plurality of search words, wherein the second search word having the second highest relative quantitative value is equal to the search word having the second highest frequency of occurrences, wherein the second search word is determined by the set of software instructions executed by the server;

searching within the first word index for a second word index of web pages, wherein the search is determined by the set of software instructions executed by the server;

repeating the searching steps while continuing with words following a downward trend for each relative quantitative (nth) value until reaching words having the lowest quantitative value and indexing the website with each identified matching word with a respective (nth) level index relationship between the identified word and the web page, wherein each identified matching word respective relative quantitative (nth) vector value is added to the files unique vector value;

returning the top list of a listing of (n) files in ascending order from highest to lowest resultant file value, wherein the returning of the top list of the listing of (n) files is accomplished by the set of software instructions executed by the server.

4. A hierarchical method as recited in claim 3, further comprising the steps of:

identifying commonly searched phrases according to the frequency of occurrences in the webpage database and including each identified commonly searched phrase within the list of recognized words, wherein the step of identifying commonly searched phrases is identified by the set of software instructions executed by the server; and

utilizing the commonly searched phrase as a single search word.

5. A hierarchical method as recited in claim 3, further comprising the step of:

identifying commonly searched phrases and including each identified commonly searched phrase within the list of recognized words, wherein the step of identifying commonly searched phrases is identified by the set of software instructions executed by the server.

6. A hierarchical method as recited in claim 1, further comprising the step of:

identifying and tagging web sites that are inclusive of adult only content, wherein the step of identifying and tagging web sites is accomplished by the set of software instructions executed by the server.

7. A hierarchical method for indexing and searching files, the method comprising the steps of:

providing a reference search database comprising a plurality of search references, the reference search database being digitally stored;

establishing a quantitative hierarchical value for each of the search references in the reference search database according to a frequency of occurrences of each of the search references in the reference search database, wherein each search reference is assigned a quantitative value between a lowest value and a highest value based upon a predetermined level of importance, wherein the quantitative hierarchical value for each of the search references is assigned by a server using an instruction set provided by software;

establishing a stored files database comprising at least one of the files and a location of the files, the stored files database being digitally stored;

searching, analyzing, and indexing a plurality of files within the stored files database, indexing each file via the server by executing the set of software instructions as follows;

searching each file for each search reference having a highest relative quantitative value and establishing a first index relationship between the search reference and the file;

searching each file for each search reference having a second highest relative quantitative value and establishing a second index relationship between the search reference and the file, wherein the second index relationship is a subset of the first index relationship, and attenuating any file that does not have the first index relationship;

searching each file for each search reference having a third highest relative quantitative value and establishing a third index relationship between the identified search reference and the file, wherein the third index relationship is a subset of the second index relationship, and attenuating any file that does not have the second index relationship;

repeating the searching steps while continuing with search references following a downward trend for each relative quantitative (nth) value until reaching search references having the lowest quantitative value and indexing the files with each identified matching search reference with a respective (nth) level index relationship between the identified search reference and the file, wherein the respective (nth) level index relationship is a subset of the previous (nth−

1) index relationship, and attenuating any file that does not have the third index relationship;

repeating the searching steps while continuing with words following a downward trend for each relative quantitative (nth) value until reaching words having the lowest quantitative value and indexing the website with each identified matching word with a respective (nth) level index relationship between the identified word and the web page;

wherein each identified matching word respective relative quantitative (nth) vector value is added to the files unique vector value; and

returning the top list of a listing of (n) files in ascending order from highest to lowest resultant file value, wherein the returning of the top list of the listing of (n) files is accomplished by the set of software instructions executed by the server.

8. A hierarchical method as recited in claim 7, further comprising the steps of:

searching for a listing of files from the stored files database by entering a single search terms as a basis for a search, wherein the searching is performed by the server executing the set of software instructions;

determining the respective index level associated with the single search term according to the frequency of occurrences of each of the words in the webpage database, wherein the respective index level associated with each individual word is determined by the server executing the set of software instructions; and

returning a listing of web pages containing the search word based upon the respective index level associated with the single word, wherein the returning of the top list of the listing of (n) files is accomplished by the set of software instructions executed by the server.

9. A hierarchical method as recited in claim 8, wherein the plurality of search references comprise terms related to commerce.

10. A hierarchical method as recited in claim 8, wherein at least a portion of the plurality of search references comprise terms related to geographic locations.

11. A hierarchical method as recited in claim 8, further comprising the steps of:

identifying commonly searched cluster of search references according to the frequency of occurrences in the webpage database and including each identified commonly searched cluster of search references within the list of recognized references, wherein the step of identifying commonly searched cluster of search references is identified by the set of software instructions executed by the server; and

utilizing the cluster of references as a single search reference.

12. A hierarchical method as recited in claim 11, further comprising the step of:

identifying commonly searched cluster of search references and including each identified commonly searched cluster of search references within the list of recognized references, wherein the identification is performed by the server executing the set of software instructions.

13. A hierarchical method as recited in claim 11, wherein the plurality of search references comprise terms related to commerce.

14. A hierarchical method as recited in claim 11, wherein at least a portion of the plurality of search references comprise terms related to geographic locations.