Method and apparatus for selecting advertisements to serve using user profiles, performance scores, and advertisement revenue information

• US 20070239534A1
• Filed: 03/29/2006
• Published: 10/11/2007
• Est. Priority Date: 03/29/2006
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Lin, Long-Ji, Liu, Hongche
• Application Number:
  US11/394,248
• Publication Number:
  US 20070239534A1
• Time in Patent Office: Days
• US Class Current: 705/14.460
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

A method and apparatus for selecting additional content to display to a user when the user requests base content is provided. A user profile of the user having user interest scores of categories or keywords is received, each user interest score reflecting the degree of interest the user has in the category or keyword. Performance scores reflecting the probability that a user having particular user interest scores will select additional content associated with particular categories or keywords is also received. In addition, revenue amounts associated with each category or keyword of the user profile is received. The user interest scores, performance scores, and revenue amounts are used to produce an expected revenue amount for each category or keyword in the user profile. Additional content to be sent to the user is then selected using the determined expected revenue amounts.

Claims

1. A system for selecting additional content to send with base content requested by a user, the user having an associated user profile comprising two or more categories and an interest score corresponding to each category that reflects the user'"'"'s interest in the corresponding category, each category having at least one associated additional content and an associated category revenue amount, the system comprising:

an optimizer module configured to;

identify a performance score for each category in the user profile, the performance score reflecting a probability that a user will select an additional content associated with the category upon viewing the additional content;

determine an expected revenue amount for each category in the user profile using the performance score of the category and the category revenue amount; and

select an additional content associated with a category in the user profile using the determined expected revenue amounts.

2. The system of claim 1, further comprising:

a client system used by the user, the client system being configured to send the request for base content, receive base content and additional content, and to display the base content and additional content; and

a base content server connected to the client system and the optimizer module, the base content server containing base content and being configured to receive the request for base content from the user, receive the selected additional content from the optimizer module, and to send the base content and selected additional content to the client system.

3. The system of claim 1, further comprising:

a user profile database connected to the optimizer module, the user profile database containing a plurality of user profiles associated with a plurality of users;

an aggregated performance database connected to the optimizer module, the aggregated performance database containing performance scores for a plurality of categories and a plurality of interest scores for each category, the performance score of a particular category and a particular interest score being determined statistically by determining the number of selections of additional content associated with the particular category per number of viewings of the additional content by users having the particular interest score in the particular category; and

an additional content revenue database connected to the optimizer module, the additional content revenue database containing bid amounts from advertisers for additional content associated with a plurality of categories.

4. The system of claim 3, further comprising:

a client system used by the user, the client system being configured to receive and display base content and additional content, to receive selections of additional content from the user, and to send performance data regarding the number of times additional content has been displayed and selected; and

a processing server connected to the client system and the aggregated performance database for receiving and collecting the performance data from the client system, the collected performance data being used to update one or more performance scores of the aggregated performance database.

5. The system of claim 1, further comprising:

a user profile database connected to the optimizer module, the user profile database containing a plurality of user profiles associated with a plurality of users;

an aggregated performance database connected to the optimizer module, the aggregated performance database containing performance scores for a plurality of categories and a plurality of behavior parameters, the performance scores being determined statistically by determining the number of selections of additional content associated with the particular category per number of viewings of the additional content by users meeting the behavior parameters; and

an additional content revenue database connected to the optimizer module, the additional content revenue database containing bid amounts from advertisers for additional content associated with a plurality of categories.

6. The system of claim 1, wherein the optimizer module is further configured to:

receive the user profile from the user profile database;

receive performance scores for the categories and interest scores in the user profile from the aggregated performance database; and

receive category revenue amounts for the categories in the user profile from the additional content revenue database.

7. The system of claim 1, wherein a category revenue amount for a category reflects the average revenue amount generated per each user selection of an additional content associated with the category.

8. The system of claim 7, wherein:

a category has an associated set of keywords, each keyword having an associated additional content and an associated revenue amount that reflects a revenue generated by each user selection of the associated additional content; and

the average revenue amount generated for a category is determined using rates of occurrence of keywords of the category relative to the other keywords in the category.

9. The system of claim 1, wherein the optimizer module is configured to determine the expected revenue amount for each category in the user profile by multiplying the performance score of the category and the category revenue amount.

10. A method for selecting additional content to send with base content requested by a user, the user having an associated user profile comprising two or more categories and an interest score corresponding to each category that reflects the user'"'"'s interest in the corresponding category, each category having at least one associated additional content and an associated category revenue amount, the method comprising:

identifying a performance score for each category in the user profile, the performance score reflecting a probability that a user having the corresponding interest score in the category will select an additional content associated with the category upon viewing the additional content;

determining an expected revenue amount for each category in the user profile using the performance score of the category and the category revenue amount; and

selecting an additional content associated with a category in the user profile using the determined expected revenue amounts.

11. The method of claim 10, further comprising:

sending the requested base content and the selected additional content to a client system used by the user, the client system being configured to display the base content and additional content.

12. The method of claim 10, further comprising:

receiving the user profile from a user profile database containing a plurality of user profiles associated with a plurality of users;

receiving performance scores for the categories and interest scores in the user profile from an aggregated performance database containing performance scores for a plurality of categories and a plurality of interest scores for each category, the performance score of a particular category and a particular interest score being determined statistically by determining the number of selections of additional content associated with the particular category per number of viewings of the additional content by users having the particular interest score in the particular category; and

receiving category revenue amounts for the categories in the user profile from an additional content revenue database containing bid amounts from advertisers for additional content associated with a plurality of categories.

13. The method of claim 12, further comprising:

sending the requested base content and the selected additional content to a client system used by the user, the client system being configured to receive and display base content and additional content, to receive selections of additional content from the user, and to send performance data regarding the number of times additional content has been displayed and selected; and

sending performance data from the client system to a processing server configured for receiving and collecting the performance data, the collected performance data being used to update one or more performance scores of the aggregated performance database.

14. The method of claim 10, further comprising:

receiving the user profile from a user profile database containing a plurality of user profiles associated with a plurality of users;

receiving performance scores for the categories and interest scores in the user profile from an aggregated performance database containing performance scores for a plurality of categories and a plurality of behavior parameters, the performance scores being determined statistically by determining the number of selections of additional content associated with the particular category per number of viewings of the additional content by users meeting the behavior parameters; and

receiving category revenue amounts for the categories in the user profile from an additional content revenue database containing bid amounts from advertisers for additional content associated with a plurality of categories.

15. The method of claim 10, wherein a category revenue amount for a category reflects the average revenue amount generated per each user selection of an additional content associated with the category.

16. The method of claim 15, wherein:

a category has an associated set of keywords, each keyword having an associated additional content and an associated revenue amount that reflects a revenue generated by each user selection of the associated additional content; and

the average revenue amount generated for a category is determined using rates of occurrence of keywords of the category relative to the other keywords in the category.

17. The method of claim 10, wherein determining the expected revenue amount for each category in the user profile comprises multiplying the performance score of the category and the category revenue amount for each category in the user profile.

18. A system for selecting additional content to send with base content requested by a user, the user having an associated user profile comprising two or more keywords and an interest score corresponding to each keyword that reflects the user'"'"'s interest in the corresponding keyword, each keyword having an associated additional content and an associated keyword revenue amount, the system comprising:

an optimizer module configured to;

identify a performance score for each keyword in the user profile, the performance score reflecting a probability that a user having the corresponding interest score in the keyword will select an additional content associated with the keyword upon viewing the additional content;

determine an expected revenue amount for each keyword in the user profile using the performance score of the keyword and the keyword revenue amount; and

select an additional content associated with a keyword in the user profile using the determined expected revenue amounts.

19. The system of claim 18, wherein:

a performance score of a particular keyword and a particular interest score is determined statistically by determining the number of selections of the additional content associated with the particular keyword per number of viewings of the additional content by users having the particular interest score in the particular keyword;

the keyword revenue amount associated with a keyword reflects a revenue generated by each user selection of the additional content associated with the keyword; and

the optimizer module is configured to determine the expected revenue amount for each keyword in the user profile by multiplying the performance score of the keyword and the keyword revenue amount.

20. A method for selecting additional content to send with base content requested by a user, the user having an associated user profile comprising two or more keywords and an interest score corresponding to each keyword that reflects the user'"'"'s interest in the corresponding keyword, each keyword having an associated additional content and an associated keyword revenue amount, the method comprising:

identifying a performance score for each keyword in the user profile, the performance score reflecting a probability that a user having the corresponding interest score in the keyword will select an additional content associated with the keyword upon viewing the additional content;

determining an expected revenue amount for each keyword in the user profile using the performance score of the keyword and the keyword revenue amount; and

selecting an additional content associated with a keyword in the user profile using the determined expected revenue amounts.

21. The method of claim 20, wherein:

a performance score of a particular keyword and a particular interest score is determined statistically by determining the number of selections of the additional content associated with the particular keyword per number of viewings of the additional content by users having the particular interest score in the particular keyword;

the keyword revenue amount associated with a keyword reflects a revenue generated by each user selection of the additional content associated with the keyword; and

determining the expected revenue amount for each keyword in the user profile comprises multiplying the performance score of the keyword and the keyword revenue amount for each keyword in the user profile.