Serving advertisements based on keywords related to a webpage determined using external metadata

• US 20080027798A1
• Filed: 07/25/2006
• Published: 01/31/2008
• Est. Priority Date: 07/25/2006
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Ramamurthi, Shivkumar, Maghoul, Farzin, Pedersen, Jan, Mendelevitch, Ofer
• Application Number:
  US11/492,387
• Publication Number:
  US 20080027798A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0248 Avoiding fraud
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Methods and apparatus for selecting advertisements to display to a user requesting a primary webpage is provided. Keywords related to the primary webpage are determined using internal information of the primary webpage and/or external information provided in neighboring webpages. The external information may include anchor text metadata of hyperlinks on neighboring webpages that link to the primary webpage or include the number of such hyperlinks having a same particular anchor text. Other internal and/or external information may be used to determine a list of keywords related to the primary webpage. One or more of keywords on the list are selected to represent the primary webpage according to one or more objectives. One or more advertisements are selected to be served to the user using the selected keywords. Machine learning techniques may be used to develop a model that automatedly determines keywords representing a webpage.

Claims

1. A system for selecting one or more advertisements to serve to a user requesting a primary webpage, the primary webpage having one or more external neighboring webpages that hyperlink directly or indirectly to the primary webpage, the system comprising:

a keyword module configured for;

selecting a set of primary webpage keywords representing the primary webpage based, at least in part, on external information from one or more neighboring webpages; and

an advertisement selection module configured for;

selecting one or more advertisements to serve to the user based on the set of primary webpage keywords.

2. The system of claim 1, wherein the external information comprises anchor text of one or more hyperlinks to the primary webpage presented on one or more neighboring webpages.

3. The system of claim 2, wherein the keyword module is further configured for determining the set of primary webpage keywords based, at least in part, on a number of instances of a specific anchor text on hyperlinks to the primary webpage presented on the neighboring webpages.

4. The system of claim 1, wherein the keyword module is further configured for:

extracting a set of keywords from external information from one or more neighboring webpages;

determining a set of parameters for the external information; and

determining a list of keywords related to the primary webpage and a score for each keyword on the list using the set of extracted keywords and the set of parameters for the external information, wherein the set of primary webpage keywords are selected from the list of keywords.

5. The system of claim 4, wherein the keyword module is further configured for:

creating two or more groups of keywords in the list of keywords, each keyword in a group being related to a common subject area, wherein the set of primary webpage keywords are selected from the list of keywords based on the scores of the keywords or the grouping of the keywords,

wherein the keyword module is configured for selecting the set of primary webpage keywords from the list of keywords to represent the intent of the primary webpage, to select keywords that are correlated with the intent of the primary webpage, or to select keywords that are diverse in subject areas.

6. The system of claim 4, wherein the keyword module is further configured for:

extracting a set of keywords from internal information from the primary webpage; and

determining a set of parameters for the internal information, wherein the list of keywords and score for each keyword on the list are determined using the sets of extracted keywords from the internal and external information and the sets of parameters for the internal and external information.

7. The system of claim 6, wherein the set of parameters relates to the primary webpage and comprises one or more of the following parameters:

number of hyperlinks to the primary webpage having valid anchor text;

number of hyperlinks to the primary webpage having invalid anchor text;

number of hyperlinks to the primary webpage;

number of keywords extracted from anchor text on hyperlinks to the primary webpage or on hyperlinks to neighboring webpages;

number of keywords extracted from text content of the primary webpage;

number of neighboring webpages that are indirectly linked to by neighboring webpages directly linked to the primary webpage;

size of text content of the primary webpage;

quality level or size of a non-text content item on the primary webpage;

presence or absence of a graphic, image, animation, video, or audio on the primary webpage;

encoding language of the primary webpage;

when the primary webpage was created;

ratings or reviews of the primary webpage on neighboring webpages;

or

folksonomy tags.

8. The system of claim 6, wherein the set of parameters relates to a keyword extracted from anchor text on a particular hyperlink to the primary webpage presented on a particular neighboring webpage and comprises one or more of the following parameters:

numeric weight for the keyword;

number of times the keyword is used on anchor text on hyperlinks to the primary webpage;

number of words in the keyword;

whether the keyword appears more often by itself or as part of other keywords on webpages of the Internet;

whether the keyword was extracted from valid or invalid anchor text;

whether the particular neighboring webpage is in the same domain or website as the primary webpage;

or

whether the keyword matches any keyword extracted from the text content of the primary webpage.

9. The system of claim 6, wherein the set of parameters relates to a keyword extracted from anchor text on a particular hyperlink that is not a hyperlink to the primary webpage presented on a particular neighboring webpage and comprises one or more of the following parameters:

numeric weight for the keyword;

number of times the keyword is used in anchor text on links to the particular neighboring webpage;

whether the particular neighboring webpage is in the same domain or website as the primary webpage;

whether the keyword was extracted from valid or invalid anchor text;

or

whether the keyword matches any keyword extracted from the text content of the neighboring webpage.

10. The system of claim 6, wherein the set of parameters relates to a keyword extracted from text content of the primary webpage and comprises one or more of the following parameters:

numeric weight for the keyword;

whether the keyword was extracted from text contained in the title or “

meta”

keyword section of the primary webpage;

size of the keyword;

or

number of times the keyword appears in the text content of the primary webpage.

11. The system of claim 1 wherein the keyword module is developed using machine learning techniques to automatedly determine a set of primary webpage keywords representing the primary webpage upon receiving the primary webpage and the external information.

12. The system of claim 1, further comprising:

a client system used by the user, the client system configured for sending the request for the primary webpage and receiving the primary webpage and the one or more advertisements;

a webpage server connected to the client system via a network and to the keyword module, the webpage server configured for storing a plurality of webpages, receiving the request for the primary webpage, and sending the requested webpage and the one or more advertisements to the client system;

an advertisement server connected to the keyword module and the webpage server, the advertisement server configured for storing a plurality of advertisements and sending the one or more advertisements to the webpage server; and

a database connected to the keyword module, the database configured for storing webpage information for a plurality of webpages and sending webpage information to the keyword module.

13. A computer-implemented method for selecting one or more advertisements to serve to a client system requesting a primary webpage through a network, the primary webpage having one or more external neighboring webpages that hyperlink directly or indirectly to the primary webpage, the method comprising:

selecting a set of primary webpage keywords representing the primary webpage based, at least in part, on external information from one or more neighboring webpages;

selecting one or more advertisements to serve to the client system based on the set of primary webpage keywords; and

sending the primary webpage and the one or more advertisements to the client system through the network.

14. The method of claim 13, wherein the external information comprises anchor text of one or more hyperlinks to the primary webpage presented on one or more neighboring webpages.

15. The method of claim 14, wherein determining the set of primary webpage keywords comprises determining the set of primary webpage keywords based, at least in part, on a number of instances of a specific anchor text on hyperlinks to the primary webpage presented on the neighboring webpages.

16. The method of claim 13, further comprising:

extracting a set of keywords from external information from one or more neighboring webpages;

determining a set of parameters for the external information; and

determining a list of keywords related to the primary webpage and a score for each keyword on the list using the set of extracted keywords and the set of parameters for the external information, wherein the set of primary webpage keywords are selected from the list of keywords.

17. The method of claim 16, further comprising:

creating two or more groups of keywords in the list of keywords, each keyword in a group being related to a common subject area, wherein the set of primary webpage keywords are selected from the list of keywords based on the scores of the keywords or the grouping of the keywords,

wherein selecting the set of primary webpage keywords comprises selecting the set of primary webpage keywords from the list of keywords to represent the intent of the primary webpage, to select keywords that are correlated with the intent of the primary webpage, or to select keywords that are diverse in subject areas.

18. The method of claim 16, further comprising:

extracting a set of keywords from internal information from the primary webpage; and

determining a set of parameters for the internal information, wherein the list of keywords and score for each keyword on the list are determined using the sets of extracted keywords from the internal and external information and the sets of parameters for the internal and external information.

19. The method of claim 18, wherein the set of parameters relates to the primary webpage and comprises one or more of the following parameters:

number of hyperlinks to the primary webpage having valid anchor text;

number of hyperlinks to the primary webpage having invalid anchor text;

number of hyperlinks to the primary webpage;

number of keywords extracted from anchor text on hyperlinks to the primary webpage or on hyperlinks to neighboring webpages;

number of keywords extracted from text content of the primary webpage;

number of neighboring webpages that are indirectly linked to by neighboring webpages directly linked to the primary webpage;

size of text content of the primary webpage;

quality level or size of a non-text content item on the primary webpage;

presence or absence of a graphic, image, animation, video, or audio on the primary webpage;

encoding language of the primary webpage;

when the primary webpage was created;

ratings or reviews of the primary webpage on neighboring webpages;

or

folksonomy tags.

20. The method of claim 18, wherein the set of parameters relates to a keyword extracted from anchor text on a particular hyperlink to the primary webpage presented on a particular neighboring webpage and comprises one or more of the following parameters:

numeric weight for the keyword;

number of times the keyword is used on anchor text on hyperlinks to the primary webpage;

number of words in the keyword;

whether the keyword appears more often by itself or as part of other keywords on webpages of the Internet;

whether the keyword was extracted from valid or invalid anchor text;

whether the particular neighboring webpage is in the same domain or website as the primary webpage;

or

whether the keyword matches any keyword extracted from the text content of the primary webpage.

21. The method of claim 18, wherein the set of parameters relates to a keyword extracted from anchor text on a particular hyperlink that is not a hyperlink to the primary webpage presented on a particular neighboring webpage and comprises one or more of the following parameters:

numeric weight for the keyword;

number of times the keyword is used in anchor text on links to the particular neighboring webpage;

whether the particular neighboring webpage is in the same domain or website as the primary webpage;

whether the keyword was extracted from valid or invalid anchor text;

or

whether the keyword matches any keyword extracted from the text content of the neighboring webpage.

22. The method of claim 18, wherein the set of parameters relates to a keyword extracted from text content of the primary webpage and comprises one or more of the following parameters:

numeric weight for the keyword;

whether the keyword was extracted from text contained in the title or “

meta”

keyword section of the primary webpage;

size of the keyword;

or

number of times the keyword appears in the text content of the primary webpage.