SYSTEM AND METHOD FOR DYNAMICALLY MONETIZING KEYWORD VALUES

• US 20100161613A1
• Filed: 12/24/2008
• Published: 06/24/2010
• Est. Priority Date: 12/24/2008
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Rao, Supreeth Hosur Nagesh
• Granted Patent: US 8,069,160 B2
• Time in Patent Office: Days
• US Class Current: 707/741
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

A system and method for dynamically monetizing keyword values based on a correlation between one or more indices. The method includes generating a first index for a subject being searched by users via web server, and a second index for the subject based on a corresponding level of popularity. The first index is correlated with the second index to predict a future second index for the subject based on the first index.

Claims

1. A system for dynamically monetizing keyword values based on a correlation between two or more indices, the system comprising:

a first index module configured to generate a first index for a subject being searched by users via a web server associated with a website, the web server being configured to receive and process a plurality of search requests;

a second index module configured to generate a second index for the subject based on a corresponding level of popularity; and

an analysis engine in communication with the first index module and the second index module, the analysis engine being configured to correlate the first index with the second index to predict a change in the second index based on the first index.

2. The system of claim 1, wherein the first index is a metric calculated as a function of a total number of web documents generated in response to a search request for the subject and an access frequency corresponding to each web document of the total number of web documents.

3. The system of claim 2, wherein the access frequency is based on a frequency that each web document of the total number of web documents is accessed within the website.

4. The system of claim 2, wherein the access frequency is based on a frequency that each web document of the total number of web documents is accessed within a network.

5. The system of claim 2, further comprising a web crawler in communication with the web server and configured to actively retrieve data from a network, the data including at least the total number of web documents generated in response to the search request.

6. The system of claim 5, wherein the total number of web documents is generated from the data retrieved by the web crawler during a predetermined period of time.

7. The system of claim 1, wherein the second index is a metric calculated as a percentage of a total number of users searching the subject via the website.

8. The system of claim 1, wherein the second index is a metric proportional to a total number of searches conducted for the subject via the website.

9. The system of claim 1, wherein the second index is a metric calculated as a function of a total number of users searching the subject via the website and a total number of searches conducted via the website.

10. The system of claim 1, wherein the change in the second index corresponds to an increase in the second index.

11. The system of claim 1, wherein the analysis engine predicts the change in the second index based on a change in the first index.

12. The system of claim 11, wherein the analysis engine is further configured to analyze the first index to identify an event corresponding to the change in the first index.

13. A system for dynamically monetizing keyword values based on a correlation between two or more indices, the system comprising:

a first index module configured to generate a first index for a subject being searched by users via a web server associated with a website, the web server being configured to receive and process a plurality of search requests;

a second index module configured to generate a second index for the subject based on a corresponding level of popularity;

an analysis engine in communication with the first index module and the second index module, the analysis engine being configured to correlate the first index with the second index to predict a change in the second index based on an earlier change in the first index;

an advertisement engine in communication with the analysis engine and configured to dynamically update bid prices of keywords associated with the subject based on the first index; and

a web crawler in communication with the web server and configured to actively retrieve data from a network, the data including at least the total number of web documents generated in response to the search request;

wherein the first index is a metric calculated as a function of a total number of web documents generated in response to a search request for the subject and an access frequency corresponding to each web document of the total number of web documents.

14. A method for dynamically monetizing keyword values based on a correlation between one or more indices, the method comprising:

generating a first index for a subject being searched by users via a web server associated with a website, the web server being configured to receive and process a plurality of search requests;

independently generating a second index for the subject based on a corresponding level of popularity; and

correlating the first index with the second index to predict a change in the second index based on the first index.

15. The method of claim 14, wherein the first index is a metric calculated as a function of a total number of web documents generated for the subject in response to a search request and an access frequency corresponding to each web document of the total number of web documents.

16. The method of claim 15, further comprising analyzing a database associated with the website to determine the access frequency.

17. The method of claim 16, wherein the access frequency is based on the frequency that each web document of the total number of web documents is accessed within the website.

18. The method of claim 15, further comprising actively crawling a network to retrieve data, the data including at least the total number of web documents generated in response to the search request.

19. The method of claim 18, wherein the total number of web documents is generated from the data retrieved during a predetermined period of time.

20. The method of claim 14, wherein the second index is a metric calculated as a percentage of a total number of users searching the subject via the website.

21. The method of claim 14, further comprising using the first index to dynamically update bid prices of keywords associated with the subject.

22. The method of claim 14, wherein the change in the second index is based on a change in the first index.

23. In a computer readable storage medium having stored therein instructions executable by a programmed processor for dynamically monetizing keywords values, the storage medium comprising instructions for:

generating a first index for a subject being searched by users via a web server associated with a website, the web server being configured to receive and process a plurality of search requests;

independently generating a second index for the subject based on a corresponding level of popularity; and

correlating the first index with the second index to predict a change in the second index based on the first index.

24. The computer readable storage medium of claim 23, wherein the first index is a metric calculated as a function of a total number of web documents generated for the subject in response to a search request and an access frequency corresponding to each web document of the total number of web documents.

25. The computer readable storage medium of claim 24, wherein the access frequency is based on the frequency that each web document of the total number of web documents is accessed within the website.

26. The computer readable storage medium of claim 24, further comprising actively crawling a network to retrieve data, the data including at least the total number of web documents generated in response to the search request.

27. The computer readable storage medium of claim 26, wherein the total number of web documents is generated from the data retrieved during a predetermined period of time.

28. The computer readable storage medium of claim 23, wherein the second index is a metric calculated as a percentage of a total number of users searching the subject via the website.

29. The computer readable storage medium of claim 23, further comprising using the first index to dynamically update bid prices of keywords associated with the subject.

30. The computer readable storage medium of claim 23, further comprising analyzing the first index to identify an event corresponding to the earlier increase in the first index.