CUSTOMIZED USER EXPERIENCES

• US 20140244678A1
• Filed: 02/28/2013
• Published: 08/28/2014
• Est. Priority Date: 02/28/2013
• Status: Abandoned Application

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Inventors: Akin, Jeremiah Joseph, Nuzzi, Frank Anthony, Zamer, Kamal, Sowder, Jamie Brett, Mekala, Jayasree
• Application Number:
  US13/781,531
• Publication Number:
  US 20140244678A1
• Time in Patent Office: Days
• US Class Current: 707/758
• CPC Class Codes: G06F 16/9035 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Systems and methods for customizing a user experience are described. The methods include automatically collecting identifying characteristic information for a current user, comparing the identifying characteristic information to stored user profiles for known users, identifying the current user as a known user, retrieving user preferences for the known user, and presenting the user preferences.

Claims

1. A system, comprising:

a memory device storing user account information for a plurality of known users, wherein the user account information comprises user profiles of known users; and

one or more processors in communication with the memory device and operable to;

automatically collect identifying characteristic information for a current user;

compare the identifying characteristic information to stored user profiles for known users;

identify the current user as a known user;

retrieve user preferences for the known user; and

present the user preferences.

2. The system of claim 1, wherein the stored user profiles and identifying characteristic information comprise facial features, voice, movement, body type, behavior, or combinations thereof.

3. The system of claim 1, wherein the one or more processors is further operable to recommend a product or service based on the user preferences.

4. The system of claim 3, wherein the one or more processors is further operable to receive and process a payment request for the product or service.

5. The system of claim 4, wherein the one or more processors is further operable to authenticate the user based on a matched user profile.

6. The system of claim 1, wherein the current user comprises two or more people.

7. The system of claim 1, wherein the one or more processors is further operable to update a user preference.

8. The system of claim 7, wherein the one or more processors is further operable to store the updated user proference and associate the updated user preference with the known user.

9. A method for customizing a user experience, comprising:

automatically collecting identifying characteristic information for a current user;

comparing, by one or more hardware processors of a service provider, the identifying characteristic information to stored user profiles for known users;

identifying the current user as a known user;

retrieving, by one or more hardware processors of a service provder, user preferences for the known user; and

presenting the user preferences.

10. The method of claim 9, wherein the stored user profiles and identifying characteristic information comprise facial features, voice, movement, body type, behavior, or combinations thereof.

11. The method of claim 9, further comprising recommending a product or service based on the user preferences.

12. The method of claim 11, further comprising receiving and processing a payment request for the product or service.

13. The method of claim 9, wherein the current user comprises two or more people.

14. The method of claim 9, further comprising updating and storing a user preference.

15. A non-transitory machine-readable medium comprising a plurality of machine-readable instructions which, when executed by one or more processors, are adapted to cause the one or more processors to perform a method comprising:

automatically collecting identifying characteristic information for a current user;

comparing the identifying characteristic information to stored user profiles for known users;

identifying the current user as a known user;

retrieving user preferences for the known user; and

presenting the user preferences.

16. The non-transitory machine-readable medium of claim 15, wherein the stored user profiles and identifying characteristic information comprise facial features, voice, movement, body type, behavior, or combinations thereof.

17. The non-transitory machine-readable medium of claim 15, wherein the method further comprises recommending a product or service based on the user preferences.

18. The non-transitory machine-readable medium of claim 17, wherein the method further comprises receiving and processing a payment request for the product or service.

19. The non-transitory machine-readable medium of claim 15, wherein the current user comprises two or more people.

20. The non-transitory machine-readable medium of claim 15, wherein the method further comprises updating and storing a user preference.