Mixing and Targeting Content Types/Items for Users to Promote Optimization Goals

• US 20110153377A1
• Filed: 12/23/2009
• Published: 06/23/2011
• Est. Priority Date: 12/23/2009
• Status: Abandoned Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Novikov, Victor, Agarwal, Aditya, Morgenstern, Jared, Schoen, Kent
• Application Number:
  US12/645,484
• Publication Number:
  US 20110153377A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0214 Referral reward systems
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A social networking system uses information that it obtains from and about its users to select social networking content and advertising for presentation to users in a way that optimizes for one or more optimization goals. Example optimization goals include monetization, user sharing, user engagement, system growth, and user communication. The social networking system may select social networking content and advertising based on their relevance to a particular user. The selected social networking content and advertising may be related to each other to provide a more interesting display to the user. The selected social networking content and advertising may be presented in a supplemental portion of a display, and be selected based on their relatedness to content in the main portion of the display.

Claims

1. A computer-implemented method for optimizing content provided to a user, the method comprising:

receiving a request to provide a display to a user, the display comprising an information window with available spaces for presenting a mixture of different types of content to the user;

determining a first parameter comprising a user group for the user;

determining a second parameter comprising one or more optimization goals for the user group;

inputting the first and second parameters into an optimization algorithm that performs the following steps;

allocating the available spaces of the information window to different content types based on ability of the types to promote the one or more optimization goals for the user group of the user, the mixture of the types varying with different user groups and optimization goals, and

selecting content items of each of the allocated types of content for the user; and

providing, to the user, a display with the information window having the selected content items of the allocated content types.

2. The method of claim 1, wherein at least one of the types of content selected is a sponsored advertisement or a social advertisement.

3. The method of claim 1, wherein at least one of the types of content selected is a news story providing information about actions performed by or on other users to whom the user has a connection in a social network.

4. The method of claim 1, wherein providing the display with the information window further comprises providing a web page on a social networking website.

5. The method of claim 4, wherein providing the display with the information window further comprises syndicating the information window onto a website outside of the social networking website.

6. The method of claim 1, wherein the one or more optimization goals are selected from a group consisting of:

monetization, user sharing, user engagement, and user communication.

7. The method of claim 6, wherein the optimization goal is monetization, and wherein monetization further comprises presenting sponsored advertisements to the user to create revenue based on the user'"'"'s interaction with the sponsored advertisements.

8. The method of claim 6, wherein the optimization goal is user engagement, and wherein user engagement further comprises encouraging the user to engage regularly with a social networking system.

9. The method of claim 6, wherein the optimization goal is user sharing, and wherein user sharing further comprises encouraging the user interact with other users to whom the user is connected in a social network.

10. The method of claim 9, wherein the types of content selected to promote user sharing are selected from a group consisting of:

event items, gift items, photo items, or video items.

11. The method of claim 6, wherein the optimization goal is user communication, and wherein user communication further comprises encouraging the user to link to other users in a social network to increase growth of the social network.

12. The method of claim 11, wherein the types of content selected to promote user sharing are selected from a group consisting of:

people you may know items, friend suggestion items, or friend invitation items.

13. The method of claim 1, wherein the user group is a group of users who are related by demographic or geographic location.

14. The method of claim 1, wherein the user group is selected from a group of users of a social networking system consisting of:

users having similar user preferences, users having similar account usage, and users having similar user characteristics.

15. The method of claim 1, wherein the display is a web page of a social networking website, and wherein the types of content include both advertisements and news stories, the news stories providing information about actions related to other users to whom the user has a connection in a social network.

16. The method of claim 1, further comprising determining a third input parameter comprising explicit feedback provided by the user in rating the content items in the information window, wherein the types of content or the content items in the display vary based on the explicit feedback.

17. The method of claim 1, further comprising determining a third input parameter comprising implicit feedback provided by the user in selecting or engaging with the content items in the information window, wherein the types of content or the content items in the display vary based on the implicit feedback.

18. The method of claim 1, wherein allocating the available spaces of the information window further comprises presenting a mixture of types of content that is optimized for promoting the one or more optimization goals for the user group of the user based on user interaction with the information window.

19. The method of claim 1, wherein allocating the available spaces of the information window further comprises allocating a specified percentage of the available spaces in the information window to a particular content type for all users of a particular demographic, the optimization goal for that particular demographic being promoted by user interaction with content items of the particular content type.

20. The method of claim 1, wherein allocating the available spaces of the information window further comprises allocating a specified percentage of the available spaces in the information window to a particular content type for all users having less than a specified number of connections to other users in the social network, wherein network growth is promoted by user interaction with content items of the particular content type

21. The method of claim 1, wherein allocating the available spaces of the information window further comprises allocating a larger percentage of the available spaces to content types known to promote the one or more optimization goals than are allocated to content types that are less likely to promote the one or more optimization goals.

22. The method of claim 1, further comprising determining the ability of the types to promote the one or more optimization goals by:

monitoring results of presenting content items of allocated types to users of different user groups over a period of time;

determining, based on the results, which types of content promote certain optimization goals more effectively than other types; and

scoring the types of content based on the ability of the types to achieve the one or more optimization goals for the user group, the scores being applied for allocating the types of content to available spaces of information windows for users.

23. A computer system for optimizing content presented to users, the system comprising:

a display server configured to receive a request to provide a display to a user comprising an information window with available spaces for presenting a mixture of different types of content to the user;

a parameter receiver configured to determine a first parameter comprising a user group for the user, and to determine a second parameter comprising one or more optimization goals for the user group;

an optimizing engine configured to input the first and second parameters into an optimization algorithm, the optimizing engine comprising;

a content type selector configured to allocate the available spaces of the information window to different content types based on ability of the types to promote the one or more optimization goals for the user group of the user, the mixture of the types varying with different user groups and optimization goals, and

a content item selector configured to select content items of each of the allocated types of content for the user; and

the display server further configured to provide, to the user, a display with the information window having the selected content items of the allocated content types.

24. The system of claim 23, wherein the optimization goal is monetization, and wherein monetization further comprises presenting sponsored advertisements to the user to create revenue based on the user'"'"'s interaction with the sponsored advertisements.

25. The system of claim 23, wherein the optimization goal is user engagement, and wherein user engagement further comprises encouraging the user to engage regularly with a social networking system.

26. The system of claim 23, wherein the optimization goal is user sharing, and wherein user sharing further comprises encouraging the user interact with other users to whom the user is connected in a social network.

27. The method of claim 26, wherein the types of content selected to promote user sharing are selected from a group consisting of:

event items, gift items, photo items, or video items.

28. The system of claim 23, wherein the optimization goal is user communication, and wherein user communication further comprises encouraging the user to link to other users in a social network to increase growth of the social network.

29. The system of claim 23, wherein the user group comprises a group of users who are related by demographic or geographic location.

30. The system of claim 23, wherein the display server is a web server and the display is a web page of a social networking website.

31. The system of claim 30, wherein the web server is further configured to syndicate the information window onto a website outside of the social networking website.

32. The system of claim 23, further comprising a feedback store for storing explicit or implicit feedback provided by the users regarding the content items in the information window, the optimizing configured for varying the types of content or the content items selected based on the explicit or implicit feedback.

33. The system of claim 23, wherein the content type selector is further configured to allocate a specified percentage of the available spaces in the information window to a particular content type for all users of a particular demographic, the optimization goal for that particular demographic being promoted by user interaction with content items of the particular content type.

34. The system of claim 23, wherein the content type selector is further configured to allocate a specified percentage of the available spaces in the information window to a particular content type for all users having less than a specified number of connections to other users in the social network, wherein network growth is promoted by user interaction with content items of the particular content type

35. The system of claim 23, in the content type selector is further configured to allocate a larger percentage of the available spaces to content types known to promote the one or more optimization goals than are allocated to content types that are less likely to promote the one or more optimization goals.

36. The system of claim 23, further comprising a score generator configured to:

monitor results of presenting content items of allocated types to users of different user groups over a period of time;

determine, based on the results, which types of content promote certain optimization goals more effectively than other types; and

score the types of content based on the ability of the types to achieve the one or more optimization goals for the user group, the scores being applied by the content type selector for allocating the types of content to available spaces of information windows for users.