METHODS AND SYSTEMS FOR DETERMINING RELEVANCE OF ADVERTISING CATEGORIES FOR DEVICES

• US 20140278932A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Vungle, Inc.
• Original Assignee: Vungle, Inc.
• Inventors: Chou, Bryant Y., Fragkos, Ioannis
• Application Number:
  US13/840,444
• Publication Number:
  US 20140278932A1
• Time in Patent Office: Days
• US Class Current: 705/14.45
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0267 Wireless devices

Abstract

Methods and systems are described for determining relevance for advertising categories for devices. In one embodiment, a system determines parameters for relevancy scores for advertising categories for a device. The system generates engagement factors for the advertising categories for the device. The system can generate the relevancy scores for the advertising categories for the device based on the parameters and the engagement factors.

Claims

1. A method comprising:

determining a plurality of parameters for relevancy scores for advertising categories for a device;

generating a plurality of engagement factors for the advertising categories for the device; and

generating the relevancy scores for the advertising categories for the device based on the parameters and the engagement factors.

2. The method of claim 1, wherein determining a plurality of parameters for relevancy scores for advertising categories for a device comprises:

determining a percentage of each video advertisement per advertising category that was viewed by a user of the device and determining a corresponding video score constant.

3. The method of claim 2, wherein determining a plurality of parameters for relevancy scores for advertising categories for a device comprises:

determining a number of clicks for at least one video advertisement per advertising category and determining a corresponding video score constant.

4. The method of claim 3, wherein determining a plurality of parameters for relevancy scores for advertising categories for a device comprises:

determining a number of post click actions for at least one video advertisement per advertising category and determining a corresponding video score constant.

5. The method of claim 1, wherein generating the plurality of engagement factors for the advertising categories for the device comprises:

determining a number of times that the user viewed at least one advertisement for each advertising category;

determining a number of clicks for at least one advertisement for each advertising category; and

determining a number of post click actions for at least one advertisement for each advertising category.

6. A machine-accessible non-transitory medium containing executable computer program instructions which when executed by a data processing system cause said system to perform a method, the method comprising:

determining a plurality of parameters for relevancy scores for advertising categories for a device;

generating a plurality of engagement factors for the advertising categories for the device; and

generating the relevancy scores for the advertising categories for the device based on the parameters and the engagement factors.

7. The machine-accessible non-transitory medium of claim 6, wherein determining a plurality of parameters for relevancy scores for the advertising categories for a device comprises:

determining a percentage of each video advertisement per advertising category that was viewed by a user of the device and determining a corresponding video score constant.

8. The machine-accessible non-transitory medium of claim 7, wherein determining a plurality of parameters for relevancy scores for the advertising categories for a device comprises:

determining a number of clicks for at least one video advertisement per advertising category and determining a corresponding video score constant.

9. The machine-accessible non-transitory medium of claim 8, wherein determining a plurality of parameters for relevancy scores for the advertising categories for a device comprises:

determining a number of post click actions for at least one video advertisement per advertising category and determining a corresponding video score constant.

10. The machine-accessible non-transitory medium of claim 6, wherein generating the plurality of engagement factors for the advertising categories for the device comprises:

determining a number of times that the user viewed at least one advertisement for each advertising category;

determining a number of clicks for at least one advertisement for each advertising category; and

determining a number of post click actions for at least one advertisement for each advertising category.

11. A system, comprising:

a storage medium to store one or more software programs;

processing logic that is configured to execute instructions of at least one software program to;

determining a plurality of parameters for relevancy scores for advertising categories for a device;

generating a plurality of engagement factors for the advertising categories for the device; and

generating the relevancy scores for corresponding advertising categories for a device based on the parameters and the engagement factors.

12. The system of claim 11, wherein determining a plurality of parameters for relevancy scores for the advertising categories for a device comprises:

determining a percentage of each video advertisement per advertising category that was viewed by a user of the device and determining a corresponding video score constant.

13. The system of claim 12, wherein determining a plurality of parameters for the relevancy scores for the advertising categories for a device comprises:

determining a number of clicks for at least one video advertisement per advertising category and determining a corresponding video score constant.

14. The system of claim 13, wherein determining a plurality of parameters for relevancy scores for the advertising categories for a device comprises:

determining a number of post click actions for at least one video advertisement per advertising category and determining a corresponding video score constant.

15. The system of claim 11, wherein generating the plurality of engagement factors for the advertising categories for the device comprises:

determining a number of times that the user viewed at least one advertisement for each advertising category;

determining a number of clicks for at least one advertisement for each advertising category; and

determining a number of post click actions for at least one advertisement for each advertising category.

16. A method comprising:

comparing a first profile of advertising categories for a first device to a second profile of the advertising categories for the second device; and

determining how similar at least one category of the advertising categories of the first profile is in comparison to at least one category of the advertising categories of the second profile.

17. The method of claim 16, further comprising:

predicting a relevancy of at least one category of the advertising categories for at least one of the first and second devices.

18. The method of claim 17, wherein predicting a relevancy of at least one category of the advertising categories for at least one of the first and second devices occurs based on how similar the at least one category of the advertising categories of the first profile is in comparison to the at least one category of the advertising categories of the second profile.

19. A machine-accessible non-transitory medium containing executable computer program instructions which when executed by a data processing system cause said system to perform a method, the method comprising:

comparing a first profile of advertising categories for a first device to a second profile of the advertising categories for the second device; and

determining how similar at least one category of the advertising categories of the first profile is in comparison to at least one category of the advertising categories of the second profile.

20. The machine-accessible non-transitory medium of claim 19, further comprising:

predicting a relevancy of at least one category of the advertising categories for at least one of the first and second devices.

21. The machine-accessible non-transitory medium of claim 20, wherein predicting a relevancy of at least one category of the advertising categories for at least one of the first and second devices occurs based on how similar the at least one category of the advertising categories of the first profile is in comparison to the at least one category of the advertising categories of the second profile.