Identity and trustworthiness verification using online and offline components

Patent metadata

Field	Value
Publication number	US-10193897-B2
Application number	US-201715589703-A
Country	US
Kind code	B2
Filing date	May 8, 2017
Priority date	Dec 2, 2013
Publication date	Jan 29, 2019
Grant date	Jan 29, 2019

Abstract

Methods and systems for verifying the identity and trustworthiness of a user of an online system are disclosed. In one embodiment, the method comprises receiving online and offline identity information for a user and comparing them to a user profile information provided by the user. Furthermore, the user's online activity in a third party online system and the user's offline activity are received. Based on the online activity and the offline activity a trustworthiness score may be calculated.

First claim

What is claimed is:

1. A computer implemented method, comprising:
receiving, from a user, by a computer, information about a first online identity of the user of a first-party online system, the first online identity including a first name and a last name of the user;
receiving from the user, credentials for an account of the user in a third-party online system;
sending a request to the third party online system for information about a second online identity of the user, the request including the credentials, the third party online system different than the first-party online system;
receiving, from the third-party online system, information about activities performed by the user in the third-party online system;
determining an online trustworthiness score based at least on the information about the activities performed by the user in the third-party online system;
sending a request to one or more databases for information associated with first name and the last name of the user;
receiving, from the one or more databases, offline information about an the user;
determining an offline trustworthiness score based on the offline information; and
determining a trustworthiness score based on the online trustworthiness score and the offline trustworthiness score; and
responsive to determining that the trustworthiness score of the user is below a threshold value, exiting the user out from creating a user account in the first-party online system.

2. The computer implemented method of claim 1 , wherein the online trustworthiness score is further based on a date the account of the user in the third-party online system was created.

3. The computer implemented method of claim 1 , wherein the online trustworthiness score is further based on a date the account of the user in the third-party online system was updated.

4. The computer implemented method of claim 1 , wherein the online trustworthiness score is further based on a browsing behavior of the user.

5. The computer implemented method of claim 1 , wherein the trustworthiness score is based on a trained machine learning algorithm.

6. The computer implemented method of claim 1 , wherein the one or more databases includes at least one of a sex offender database, a criminal records database, and a credit bureau database.

7. The computer implemented method of claim 1 , further comprising:
receiving, from other users of the first-party online system, one or more comments associated with the user; and
wherein the offline trustworthiness score is further based on the one or more comments associated with the user.

8. The computer implemented method of claim 7 , wherein the offline trustworthiness score is further based on a recency of the one or more comments associated with the user.

9. A system comprising:
a hardware processor; and
a computer readable medium configured to store instructions, the instructions when executed by a processor cause the processor to:
receive, from a user, by a computer, information about a first online identity of the user of a first-party online system, the first online identity including a first name and a last name of the user;
receive from the user, credentials for an account of the user in a third-party online system;
send a request to the third party online system for information about a second online identity of the user, the request including the credentials, the third party online system different than the first-party online system;
receive, from the third-party online system, information about activities performed by the user in the third-party online system;
determine an online trustworthiness score based at least on the information about the activities performed by the user in the third-party online system;
send a request to one or more databases for information associated with first name and the last name of the user;
receive, from the one or more databases, offline information about an the user;
determine an offline trustworthiness score based on the offline information; and
determine a trustworthiness score based on the online trustworthiness score and the offline trustworthiness score; and
responsive to determining that the trustworthiness score of the user is below a threshold value, exit the user out from creating a user account in the first-party online system.

10. The system of claim 9 , wherein the online trustworthiness score is further based on a date the account of the user in the third-party online system was created.

11. The system of claim 9 , wherein the online trustworthiness score is further based on a date the account of the user in the third-party online system was updated.

12. The system of claim 9 , wherein the online trustworthiness score is further based on a browsing behavior of the user.

13. The system of claim 9 , wherein the trustworthiness score is based on a trained machine learning algorithm.

14. The system of claim 9 , wherein the one or more databases includes at least one of a sex offender database, a criminal records database, and a credit bureau database.

15. The system of claim 9 , wherein the instructions when executed by the processor further cause the processor to:
receive, from other users of the first-party online system, one or more comments associated with the user; and
wherein the offline trustworthiness score is further based on the one or more comments associated with the user.

16. The system of claim 15 , wherein the offline trustworthiness score is further based on a recency of the one or more comments associated with the user.

17. A non-transitory computer readable storage medium configured to store instructions, the instructions when executed by a processor, cause the processor to:
receive, from a user, by a computer, information about a first online identity of the user of a first-party online system, the first online identity including a first name and a last name of the user;
receive from the user, credentials for an account of the user in a third-party online system;
send a request to the third party online system for information about a second online identity of the user, the request including the credentials, the third party online system different than the first-party online system;
receive, from the third-party online system, information about activities performed by the user in the third-party online system;
determine an online trustworthiness score based at least on the information about the activities performed by the user in the third-party online system;
send a request to one or more databases for information associated with first name and the last name of the user;
receive, from the one or more databases, offline information about an the user;
determine an offline trustworthiness score based on the offline information; and
determine a trustworthiness score based on the online trustworthiness score and the offline trustworthiness score; and
responsive to determining that the trustworthiness score of the user is below a threshold value, exit the user out from creating a user account in the first-party online system.

18. The non-transitory computer readable storage medium of claim 17 , wherein the online trustworthiness score is further based on at least one of a date the account of the user in the third-party online system was created, a date the account of the user in the third-party online system was updated, and a browsing behavior of the user.

19. The non-transitory computer readable storage medium of claim 17 , wherein the one or more databases includ

Assignees

• Airbnb Inc

Inventors

• Kirkham Stephen
• Lewis Michael

Classifications

• G06F21/31

  User authentication · CPC title

• H04L63/126 Primary

  the source of the received data · CPC title

• G06F21/316

  by observing the pattern of computer usage, e.g. typical user behaviour · CPC title