Integrated posts and guidance

• US 10,205,790 B1
• Filed: 03/14/2013
• Issued: 02/12/2019
• Est. Priority Date: 06/27/2012
• Status: Active Grant

• Current Assignee: DP Technologies, Inc.
• Original Assignee: DP Technologies, Inc.
• Inventors: Kahn, Philippe, Kinsolving, Arthur
• Primary Examiner(s): Sall, El Hadji M
• Assistant Examiner(s): Kassa, Elizabeth
• Application Number:
  US13/830,298
• Time in Patent Office: 2,161 Days
• Field of Search: 709204
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method or apparatus to provide personalized post and guidance to a user, through a social network feed. The method comprises obtaining user characteristic data, and obtaining temporary characteristic data, the temporary characteristic data including one or more of: a user'"'"'s motion state, a user'"'"'s current location, a user'"'"'s past motion states. The method further comprises making a personalized post available to the user through a newsfeed in a social network, the personalized post requesting engagement, and tracking the engagement of the user with the personalized post.

Claims

1. A method of personalizing a post for a user, comprising:

obtaining user characteristic data, describing long-term characteristics of the user, wherein user characteristic data comprises at least one of user profile data, preferences data, behavioral data, and statistical data;

obtaining temporary characteristic data from a mobile device of the user, the temporary characteristic data comprising;

a user'"'"'s current motion state, a user'"'"'s current location, a user'"'"'s past motion state, and a user'"'"'s past location, wherein the user'"'"'s past motion state identifies a specific physical activity from at least three possible physical activities and is determined by a device worn by the user; and

wherein the user'"'"'s current motion state identifies a specific physical activity from at least three possible physical activities and is determined by a device worn by the user;

selecting a personalized post by identifying an offer relevant to the user'"'"'s interests based on the user characteristic data and the temporary characteristic data including the user'"'"'s current motion state, the user'"'"'s current location, the user'"'"'s past motion state, and the user'"'"'s past location;

making the personalized post available to the user through a newsfeed in a social network, the personalized post requesting engagement; and

tracking the engagement of the user with the personalized post based on the temporary characteristic data.

2. The method of claim 1, wherein the temporary characteristic data further includes local environmental data, and data obtained from the user'"'"'s recent posts and comments on the social network.

3. The method of claim 1, wherein the user characteristic data includes user profile data, indicating the user'"'"'s preferences.

4. The method of claim 1, wherein the tracking of the engagement comprises tracking one or more of:

views of the post, clicks on the post, guidance to a destination indicated by the post, and actions taken by the user at the destination.

18. The method of claim 1, wherein the at least three possible physical activities comprise:

running, walking, and sleeping.

5. A social data targeting system, comprising:

a post generator to generate a social media post for personalization;

a personalizer to receive temporary characteristic data comprising the user'"'"'s current location and current motion state and the user'"'"'s past location and past motion state, and user characteristic data, and to personalize the post based on the temporary characteristic data and the user characteristic data, wherein the user'"'"'s past motion state identifies whether the user was exercising and is determined by a device worn by the user, wherein user characteristic data comprises at least one of user profile data, preferences data, behavioral data, and statistical data and wherein the user'"'"'s current motion state identifies a specific physical activity from at least three possible physical activities and is determined by a device worn by the user; and

an interaction tracker to track interactions of the user with the personalized post the interactions based in part on the user'"'"'s current location and past motion state after seeing the personalized post.

6. The social data targeting system of claim 5, further comprising:

a personalization matcher to determine when the user characteristic data is relevant to insert into the post, the personalizer to tailor the personalized post using the user characteristic data;

otherwise the social data targeting system to provide a general post in place of the personalized post.

7. The social data targeting system of claim 5, wherein the temporary characteristic data includes one or more of:

the local environmental data, past characteristic data, and user posts, likes, and responses in the social media network.

8. The social data targeting system of claim 7, wherein the past characteristic data comprises past motion data.

9. The social data targeting system of claim 5, wherein the user characteristic data includes one or more of user profile data, user preferences data, user behavioral data.

10. The social data targeting system of claim 5, further comprising:

the interaction tracker to track one or more of views, clicks, uses of guidance, taking of actions, based on the post.

11. The social data targeting system of claim 5, further comprising using statistical data based on aggregate behaviors of users, to further target personalization of the post.

19. The system of claim 5, wherein the past motion state comprises one of the exercise motion states of running, walking, and the non-exercise motion state of sleeping.

12. A method of providing targeted posts to a user in a social media network, comprising:

receiving temporary characteristic data comprising the user'"'"'s location, current motion state, and past motion state, wherein the user'"'"'s past motion state identifies whether the user was exercising and is determined by a device worn by the user, wherein user characteristic data comprises at least one of user profile data, preferences data, behavioral data, and statistical data and wherein the user'"'"'s current motion state identifies a specific physical activity from at least three possible physical activities and is determined by a device worn by the user;

receiving user characteristic data;

personalizing a post for the user based on the temporary characteristic data, the user characteristic data, and the local environmental data; and

tracking an interaction of the user with the personalized post.

13. The method of claim 12, further comprising:

prior to personalizing, determining whether the post is capable of being personalized for the user.

14. The method of claim 12, wherein the temporary characteristic data includes one or more of:

the local environmental data, past characteristic data, past motion data, and user posts, likes, and responses in the social media network.

15. The method of claim 12, wherein the user characteristic data includes one or more of user profile data, user preferences data, user behavioral data.

16. The method of claim 12, further comprising:

tracking the interactions including one or more of;

views, clicks, uses of the guidance, taking of actions based on the post.

17. The method of claim 12, further comprising using statistical data based on aggregate behaviors of users, to further target personalization of the post.

20. The method of claim 12, wherein the past motion state comprises one of the exercise motion states of running, walking, and the non-exercise motion state of sleeping.