Advertising based on user models

• US 8,402,387 B1
• Filed: 04/24/2008
• Issued: 03/19/2013
• Est. Priority Date: 04/24/2008
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Iversen, Grim
• Primary Examiner(s): ENGLAND, SARA M
• Application Number:
  US12/109,279
• Time in Patent Office: 1,790 Days
• Field of Search: 715/789
• US Class Current: 715/789
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

A generic model of behavior pattern of general users is established. Information about a specific user is obtained from one or more electronic messages associated with the specific user, and a specific model of behavior pattern of the specific user is established based on the information about the specific user. Ads are identified based on the generic model and the specific model.

Claims

1. A computer implemented method comprising:

receiving, by one or more computers, electronic messages associated with users;

identifying the electronic messages as a particular type of electronic message;

parsing the electronic messages based at least in part on the identified particular type of electronic message;

establishing timelines of activity patterns of the users based on information obtained from the parsed electronic messages;

determining a measure associated with an effectiveness of an advertisement for various timelines; and

providing a recommendation for an advertisement strategy based on the determination of the effectiveness of the advertisement for the various timelines.

2. The method of claim 1, comprising determining that the advertisement has a higher effect on users associated with a particular timeline than other timelines, and recommending increasing an advertisement budget for targeting users associated with the particular timeline.

3. The method of claim 1, wherein at least one the electronic messages comprises a search query.

4. The method of claim 1, wherein the information obtained from the parsed electronic messages comprises information about a format of one of the electronic messages.

5. The method of claim 1, wherein establishing the timelines comprises collecting statistics on performance of groups of advertisements, and assigning categories to at least some of the groups of advertisements.

6. The method of claim 1, wherein at least one of the timelines comprises a timeline of predetermined types of activities.

7. The method of claim 1, wherein at least one of the timelines comprises a timeline of travel activities of one or more users.

8. The method of claim 7, wherein the travel activities comprise activities in connection with an airline service, a car rental service, or a hotel service.

9. The method of claim 1, wherein parsing the electronic messages based at least in part on the identified particular type of electronic message comprises parsing the electronic messages by a parser that corresponds to the identified particular type of electronic message.

10. A system, comprising:

a data processing apparatus; and

a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising;

receiving, by one or more computers, electronic messages associated with users;

identifying the electronic messages as a particular type of electronic message;

parsing the electronic messages based at least in part on the identified particular type of electronic message;

establishing timelines of activity patterns of the users based on information obtained from the parsed electronic messages;

determining a measure associated with an effectiveness of an advertisement for various timelines; and

providing a recommendation for an advertisement strategy based on the determination of the effectiveness of the advertisement for the various timelines.

11. The system of claim 10, the operations comprising determining that the advertisement has a higher effect on users associated with a particular timeline than other timelines, and recommending increasing an advertisement budget for targeting users associated with the particular timeline.

12. The system of claim 10, wherein at least one the electronic messages comprises a search query.

13. The system of claim 10, wherein the information obtained from the parsed electronic messages comprises information about a format of one of the electronic messages.

14. The system of claim 10, wherein establishing the timelines comprises collecting statistics on performance of groups of advertisements, and assigning categories to at least some of the groups of advertisements.

15. The system of claim 10, wherein at least one of the timelines comprises a timeline of predetermined types of activities.

16. The system of claim 10, wherein at least one of the timelines comprises a timeline of travel activities of one or more users.

17. The system of claim 16, wherein the travel activities comprise activities in connection with an airline service, a car rental service, or a hotel service.

18. The system of claim 10, wherein parsing the electronic messages based at least in part on the identified particular type of electronic message comprises parsing the electronic messages by a parser that corresponds to the identified particular type of electronic message.

19. Non-transitory computer readable media storing software comprising instructions executable by a processing device and upon such execution cause the processing device to perform operations comprising:

receiving, by one or more computers, electronic messages associated with users;

identifying the electronic messages as a particular type of electronic message;

parsing the electronic messages based at least in part on the identified particular type of electronic message;

establishing timelines of activity patterns of the users based on information obtained from the parsed electronic messages;

determining a measure associated with an effectiveness of an advertisement for various timelines; and

providing a recommendation for an advertisement strategy based on the determination of the effectiveness of the advertisement for the various timelines.

20. The computer readable media of claim 19, the operations comprising determining that the advertisement has a higher effect on users associated with a particular timeline than other timelines, and recommending increasing an advertisement budget for targeting users associated with the particular timeline.

21. The computer readable media of claim 19, wherein at least one the electronic messages comprises a search query.

22. The computer readable media of claim 19, wherein the information obtained from the parsed electronic messages comprises information about a format of one of the electronic messages.

23. The computer readable media of claim 19, wherein establishing the timelines comprises collecting statistics on performance of groups of advertisements, and assigning categories to at least some of the groups of advertisements.

24. The computer readable media of claim 19, wherein at least one of the timelines comprises a timeline of predetermined types of activities.

25. The computer readable media of claim 19, wherein at least one of the timelines comprises a timeline of travel activities of one or more users.

26. The computer readable media of claim 25, wherein the travel activities comprise activities in connection with an airline service, a car rental service, or a hotel service.

27. The computer readable medium of claim 19, wherein parsing the electronic messages based at least in part on the identified particular type of electronic message comprises parsing the electronic messages by a parser that corresponds to the identified particular type of electronic message.