IP Library Granted Patent US 8,606,793
Granted Patent B1
US 8,606,793 · App. 12/949,984 · Granted Dec 10, 2013

Business metric score for web pages

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Quick Facts
Patent No.
US 8,606,793
App. No.
12/949,984
Granted
Dec 10, 2013
Kind
B1
Abstract

A system and method for generating a business metric score for a web page. The system may include a effective to receive from a user a web page, a keyword and a business metric factor. The processor may receive a search engine rank based on the web page and the keyword received from the user. The processor may apply a business metric function to the business metric factor received from the user to generate a business metric rank; and combine the search engine rank and the business metric rank to generate a business metric score.

Claims (83)

1. A method for generating a business metric score for a web page, the method comprising:

receiving at a processor from a user a web page, a keyword and a business metric factor;

receiving at the processor a search engine rank based on the web page and the keyword received from the user;

applying by the processor a business metric function to the business metric factor received from the user to generate a business metric rank; and

combining by the processor the search engine rank and the business metric rank to generate a business metric score for the web page.

2. The method of claim 1 , wherein the web page is a first web page, the business metric factor is an indication of a second web page, and applying the business metric function to the business metric factor comprises:

receiving by the processor from the user the second web page and a third web page;

analyzing by the processor relationships between the first, second and third web pages to generate a page score for the first web page; and

applying the business metric function to the page score to generate the business metric rank.

3. The method of claim 2 , wherein analyzing the relationships comprises:

determining a number of clicks to navigate to the second web page from the first web page and from the third web page; and

generating the page score based on the number of clicks.

4. The method of claim 3 , wherein analyzing the relationships comprises:

determining a number of links from the first web page and from the third web page to the second web page; and

generating the page score based on the number of links.

5. The method of claim 1 , wherein the business metric factor is a business demographic, and applying the business metric function to the business metric factor comprises:

receiving by the processor a business demographic keyword relating to the business demographic;

receiving by the processor a search engine rank based on the web page and the business demographic keyword; and

applying the business metric function to the search engine rank based on the web page and

the business demographic keyword to generate the business metric rank.

6. The method of claim 1 , wherein applying the business metric function to the business metric factor comprises receiving by the processor a keyword search volume based on the keyword, wherein the business metric function includes the keyword search volume.

7. The method of claim 1 , wherein the business metric factor is selected by the user from a list provided by the processor.

8. The method of claim 1 , wherein

the business metric factor is a business demographic, and

applying the business metric function to the business metric factor comprises

receiving by the processor a business demographic keyword relating to the business demographic,

receiving by the processor a search engine rank based on the web page and the business demographic keyword,

applying the business metric function to the search engine rank based on the web page and the business demographic keyword to generate the business metric rank,

receiving by the processor a keyword search volume based on the keyword, wherein the business metric function includes the keyword search volume, and

wherein the business metric factor is selected by the user from a list provided by the processor.

9. The method of claim 4 , wherein

the business metric factor is a business demographic, and

applying the business metric function to the business metric factor comprises

receiving by the processor a business demographic keyword relating to the business demographic,

receiving by the processor a search engine rank based on the web page and the business demographic keyword,

applying the business metric function to the search engine rank based on the web page and the business demographic keyword to generate the business metric rank,

receiving by the processor a keyword search volume based on the keyword, wherein the business metric function includes the keyword search volume, and

wherein the business metric factor is selected by the user from a list provided by the processor.

10. A system for generating a business metric score for a web page, the system comprising:

a memory; and

a processor in communication with the memory and effective to

receive from a user a web page, a keyword and a business metric factor;

receive a search engine rank based on the web page and the keyword received from the user;

apply a business metric function to the business metric factor received from the user to generate a business metric rank;

combine the search engine rank and the business metric rank to generate a business metric score for the web page.

11. The system of claim 10 , wherein the web page is a first web page, the business metric factor is an indication of a second web page, and the processor is effective to apply the business metric function to the business metric factor by being effective to:

receive from the user the second web page and a third web page;

analyze relationships between the first, second and third web pages to generate a page score for the first web page; and

apply the business metric function to the page score to generate the business metric rank.

12. The system of claim 10 , wherein the processor is effective to analyze the relationships by being effective to:

determine a number of clicks to navigate to the second web page from the first web page and from the third web page; and

generate the page score based on the number of clicks.

13. The system of claim 12 , wherein the processor is effective to analyze the relationships by being effective to:

determine a number of links from the first web page and from the third web page to the second web page; and

generate the page score based on the number of links.

14. The system of claim 10 , wherein the business metric factor is a business demographic, and the processor is effective to apply the business metric function to the business metric factor by being effective to:

receive a business demographic keyword relating to the business demographic;

receive a search engine rank based on the web page and the business demographic keyword; and

apply the business metric function to the search engine rank based on the web page and the business demographic keyword to generate the business metric rank.

15. The system of claim 10 , wherein the processor is effective to apply the business metric function to the business metric factor by being effective to receive a keyword search volume based on the keyword, wherein the business metric function includes the keyword search volume.

16. The system of claim 10 , wherein the business metric factor is selected by the user from a list provided by the processor.

17. The system of claim 10 , wherein

the business metric factor is a business demographic, and

the processor is effective to apply the business metric function to the business metric factor by being effective to

receive a business demographic keyword relating to the business demographic,

receive a search engine rank based on the web page and the business demographic keyword,

apply the business metric function to the search engine rank based on the web page and the business demographic keyword to generate the business metric rank,

receive a keyword search volume based on the keyword, wherein the business metric function includes the keyword search volume, and

wherein the business metric factor is selected by the user from a list provided by the processor.

18. The system of claim 13 , wherein

the business metric factor is a business demographic, and

the processor is effective to apply the business metric function to the business metric factor by being effective to

receive a business demographic keyword relating to the business demographic,

receive a search engine rank based on the web page and the business demographic keyword,

apply the business metric function to the search engine rank based on the web page and the business demographic keyword to generate the business metric rank,

receive a keyword search volume based on the keyword, wherein the business metric function includes the keyword search volume, and

wherein the business metric factor is selected by the user from a list provided by the processor.

19. A computer program device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform method steps for generating a business metric score for a web page, comprising:

receiving at a processor from a user a web page, a keyword and a business metric factor;

receiving at the processor a search engine rank based on the web page and the keyword received from the user;

applying by the processor a business metric function to the business metric factor received from the user, the business metric function including applying a weight to the business metric factor, to generate a business metric rank; and

combining by the processor the search engine rank and the business metric rank to generate a business metric score for the web page.

20. The computer program device readable by a machine, tangibly embodying a program of instructions executable by the machine of claim 19 , wherein the factor is selected by the user from a list provided by the processor.

Assignments (7)
SECURITY INTEREST Recorded Jan 20, 2022
From: CONDUCTOR FOUNDERS, INC.; CONDUCTOR LLC
To: SILICON VALLEY BANK, AS ADMINISTRATIVE AGENT
Reel/Frame 058706/0173 →
MERGER AND CHANGE OF NAME Recorded Dec 16, 2021
From: CONDUCTOR, INC.; CONDUCTOR LLC
To: CONDUCTOR LLC
Reel/Frame 058408/0143 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (050724/0643) Recorded Feb 13, 2020
From: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
To: WEWORK COMPANIES LLC; MEETUP LLC; CONDUCTOR LLC; EUCLID LLC
Reel/Frame 051928/0754 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (050724/0631) Recorded Feb 13, 2020
From: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
To: WEWORK COMPANIES LLC; MEETUP LLC; CONDUCTOR LLC; EUCLID LLC
Reel/Frame 051928/0831 →
SECURITY INTEREST (LETTER OF CREDIT) Recorded Oct 15, 2019
From: WEWORK COMPANIES LLC; MEETUP LLC; CONDUCTOR LLC; EUCLID LLC; TEEM TECHNOLOGIES LLC
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 050724/0643 →
SECURITY INTEREST (REVOLVER) Recorded Oct 15, 2019
From: WEWORK COMPANIES LLC; MEETUP LLC; CONDUCTOR LLC; EUCLID LLC; TEEM TECHNOLOGIES LLC
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 050724/0631 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2010
From: ROSENBLUM, JOSH
To: CONDUCTOR, INC.
Reel/Frame 025376/0654 →