FACILITATING SENDING AND RECEIVING OF REMITTANCE PAYMENTS

• US 20160104133A1
• Filed: 10/08/2014
• Published: 04/14/2016
• Est. Priority Date: 10/08/2014
• Status: Active Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Davis, Stephen Moore, Abbatiello, Pierpaolo, Tucker, Lauren Beth
• Application Number:
  US14/509,875
• Publication Number:
  US 20160104133A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 20/384 using social networks
• CPC Class Codes: G06Q 20/386 using messaging services or messaging apps using mobile network messaging services for payment, e.g. SMS G06Q20/3255
• CPC Class Codes: G06Q 20/4016 involving fraud or risk level assessment in transaction processing
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

One or more embodiments described herein include methods and systems for remitting funds via a social networking system. More specifically, systems and methods described herein provide users the ability to remit funds to co-users utilizing social network profiles and notifications. Additionally, systems and methods described herein determine one or more risk levels for a remittance request based on a variety of social network factors.

Claims

1. A method comprising:

receiving a request at a server, from a sender, to electronically remit funds;

identifying, by the server, a plurality of potential recipients who live in an eligible country for receiving remittances of funds and that are associated with the sender via a social networking system;

calculating, by the server, a relationship coefficient between the sender and each of the potential recipients of the plurality of potential recipients based on data of the social networking system; and

providing, by the server, a list of two or more potential recipients with a high relationship coefficient.

2. The method as recited in claim 1, wherein calculating a relationship coefficient between the sender and a potential recipient comprises analyzing one or more of:

one or more of a number, frequency, or length of social network messages between the sender and the potential recipient,

social network posts by the sender that reference the potential recipient,

social network posts by the potential recipient that reference the sender,

posted social network media that includes or references both the sender and the potential recipient,

a number of social network friends common between the sender and the potential recipient, and

analyzing location check-ins indicating the sender and the potential recipient were in the same geographical area at the same time.

3. The method as recited in claim 1, further comprising:

providing a list of countries that are eligible for receiving remittances of funds;

receiving a selection of an eligible country, wherein the eligible country is selected from the list of countries that are eligible for receiving remittances of funds;

wherein identifying a plurality of potential recipients who live in an eligible country for receiving remittances of funds comprises identifying potential recipients that live in the selected eligible country.

4. The method as recited in claim 3, wherein a relationship coefficient for a potential recipient indicates a strength of a relationship between the sender and the potential recipient and is based on a level of interaction activity between the potential recipient and the sender.

5. The method as recited in claim 1, further comprising:

calculating, by the server, a risk level for each the potential recipients;

if the risk level for a potential recipient is above a predetermined threshold, excluding the potential recipient from the list.

6. The method as recited in claim 5, further comprising:

determining, based on social network information, a length of time each potential recipient has been a member of the social networking system; and

using the lengths of time each potential recipient has been a member of the social networking system to calculate the risk level for each of the potential recipients.

7. The method as recited in claim 5, further comprising:

calculating, based on social network information, a realness score for each potential recipient, and

using the calculated realness scores to calculate the risk level for each of the potential recipients.

8. The method as recited in claim 7, wherein calculating the realness score for a potential recipient comprises determining one or more of:

whether the potential recipient has been tagged in photos posted to the social networking system, whether co-users of the social networking system wished the potential recipient happy birthday, a number of messages exchanged between the potential recipient and co-users of the social networking system, or whether co-users like or comment on posts made by the potential recipient.

9. The method as recited in claim 3, further comprising:

inferring a payment event associated with a potential recipient;

including the potential recipient associated with the payment event in the list.

10. The method as recited in claim 9, wherein the payment event is one or more of a birthday, a wedding, a religious event, an anniversary, or a holiday.

11. The method as recited in claim 9, further comprising ranking the potential recipients in the list according to a relationship co-efficient for each potential recipient in the list and any inferred payment events for each potential recipient.

20. The method as recited in claim 8, further comprising:

identifying, by at least one processor, a selection of a remittance method for delivering the funds to the co-user;

requesting remittance information about the co-user from the user based on the selected remittance method; and

auto-filling one or more pieces of the remittance information for the co-user based on information about the co-user maintained by a social networking system.

12. A system comprising:

at least one processor; and

at least one non-transitory computer-readable storage medium storing instructions thereon that, when executed by the at least one processor, cause the system to;

receive a request, from a sender, to electronically remit funds;

identify a plurality of potential recipients who live in an eligible country for receiving remittances of funds and that are associated with the sender via a social networking system;

calculate a relationship coefficient between the sender and each of the potential recipients of the plurality of potential recipients based on data of the social networking system; and

provide a list of two or more potential recipients with a high relationship coefficient.

13. The system as recited in 12, further comprising instructions that, when executed by the at least one processor, cause the system to calculate a relationship coefficient between the sender and a potential recipient by analyzing one or more of:

one or more of a number, frequency, or length of social network messages between the sender and the potential recipient,

social network posts by the sender that reference the potential recipient,

social network posts by the potential recipient that reference the sender,

posted social network media that includes or references both the sender and the potential recipient,

a number of social network friends common between the sender and the potential recipient, and

analyzing location check-ins indicating the sender and the potential recipient were in the same geographical area at the same time.

14. The system as recited in 13, further comprising instructions that, when executed by the at least one processor, cause the system to:

calculate a risk level for each the potential recipients; and

if the risk level for a potential recipient is above a predetermined threshold, excluding the potential recipient from the list.

15. The system as recited in claim 14, further comprising instructions that, when executed by the at least one processor, cause the system to:

calculate, based on social network information, a realness score for each potential recipient by determining one or more of;

whether the potential recipient has been tagged in photos posted to the social networking system, whether co-users of the social networking system wished the potential recipient happy birthday, a number of messages exchanged between the potential recipient and co-users of the social networking system, or whether co-users like or comment on posts made by the potential recipient; and

use the calculated realness scores to calculate the risk level for each of the potential recipients.

16. A method comprising:

providing a messaging graphical user interface including a communication thread comprising a plurality of electronic messages exchanged between a user and a co-user;

identifying, by at least one processor, a selection of an option in the messaging graphical user interface to electronically remit funds from the user to the co-user;

identifying an amount of money that the user desires to send to the co-user;

identifying, by at least one processor, a country for the co-user based on profile information maintained for the co-user;

calculating an adjusted amount of money to send to the co-user in a currency of the identified country for the co-user using an exchange rate; and

initiating a remittance including the adjusted amount of money to the co-user.

17. The method as recited in claim 16, further comprising:

identifying a payment credential associated with the co-user;

if a status of the co-user is active and the payment credential is associated with the co-user, providing a remittance form to the user for initiating the remittance.

18. The method as recited in claim 16, further comprising:

inferring that a payment event for the co-user has occurred or is about to occur;

sending a notification to the user to remit funds to the co-user in response to the inferred payment event.

19. The method as recited in claim 18, wherein inferring that the payment event for the co-user has occurred or is about to occur is based on analyzing information about the co-user maintained by a social networking system.