Authentication control based on previous actions

Patent metadata

Field	Value
Publication number	US-11855770-B2
Application number	US-202117538769-A
Country	US
Kind code	B2
Filing date	Nov 30, 2021
Priority date	Nov 23, 2021
Publication date	Dec 26, 2023
Grant date	Dec 26, 2023

Abstract

A system, process, and computer-readable medium for updating an application cache using a stream listening service is described. A stream listening service may monitor one or more data streams for content relating to a user. The stream listening service may forward the content along with time-to-live values to an application cache. A user may use an application to obtain information regarding the user's account, where the application obtains information from a data store and/or cached information from the application cache. The stream listening service, by forwarding current account information, obtained from listening to one or more streams, to the application cache, reduces traffic at the data store by providing current information from the data stream to the application cache.

First claim

What is claimed is:

1. A computer-implemented method comprising:
receiving, by a server and from an application of a remote user device, user interaction information;
predicting, using a machine-learning model trained on previous interactions of other users with their applications on their user devices and with call centers and based on the received user interaction information, a likelihood of a user of the application to contact a call center with an inquiry from the user;
populating a call center cache based on a prediction that the user will contact the call center;
authenticating the user based on the prediction for the user;
receiving a result of a user interaction between the user and the call center;
storing, in an application cache of a server and with a time-to-live (TTL) value, first information for the application;
monitoring a data stream of incoming information;
detecting in the data stream, second information associated with user;
storing, based on the detecting the second information, the second information in the application cache of the server, wherein the second information overwrites the first information and refreshes the TTL value;
retraining the machine-learning model, wherein the retraining of the machine-learning model is based on:
the previous interactions of the other users with their applications on their user devices and with the call centers;
the received user interaction information; and
the result of the user interaction between the user and the call center; and

repopulating, based on the retraining of the machine-learning model, an updated prediction that the user will contact the call center, and the detection of the second information in the data stream, the call center cache.

2. The computer-implemented method of claim 1 , further comprising:
detecting third information in the data stream associated with the user, wherein the third information comprises information not currently stored in the application cache;
storing, based on the detecting the third information, the third information in the application cache, wherein the third information receives a second TTL value;
receiving a request, from the remote user device, for the second information and the third information; and
sending, to the remote user device based on the request, the second information and the third information.

3. The computer-implemented method of claim 1 , further comprising:
receiving, from the application, a request for third information associated with the user;
determining, based on the request, the application cache does not currently store the third information;
receiving, from a data store, the third information and a second TTL value;
storing, in the application cache, the third information and the second TTL value; and
sending, based on the request, the third information from the application cache, and to the application, the third information.

4. A computer-implemented method comprising:
receiving, by a server and from an application of a remote user device, user interaction information;
predicting, using a machine-learning model trained on previous interactions of other users with their applications on their user devices and with call centers and based on the received user interaction information, a likelihood of a user of the application, associated with the received user interaction information, to contact a call center with an inquiry from the user;
populating a call center cache based on a prediction that the user will contact the call center;
receiving a result of a user interaction between the user and the call center;
authenticating the user based on the prediction for the user;
receiving, by the server and from the application, a request for first information associated with the user;
storing, in an application cache of a server and with a first time-to-live (TTL), value, first information for the application;
monitoring a data stream of incoming information;
detecting second information in the data stream;
storing, based on the detecting the second information, the second information in the application cache of the server, wherein the second information overwrites the first information and refreshes the first TTL value;
retraining the machine-learning model, wherein the retraining of the machine-learning model is based on:
the previous interactions of the other users with their applications on their user devices and with the call centers;
the received user interaction information; and
the result of the user interaction between the user and the call center; and

repopulating, based on the retraining of the machine-learning model, an updated prediction that the user will contact the call center, and the detection of the second information in the data stream, the call center cache.

5. The computer-implemented method of claim 4 , the method further comprising:
receiving, by the server, a second request for third information associated with the user;
determining, by the application cache, that the third information, of the user, is not currently stored in the application cache;
sending, to a data store and based on a determination that the third information of the user is not currently stored in the application cache, a third request for the third information;
receiving, based on the third request and from the data store, the third information associated;
determining, based on the received third information, a second TTL value for the third information received from the data store;
storing, in the application cache, the third information and the second TTL value; and
sending, based on the second request and the third information received from the data store, the third information to the application.

6. The computer-implemented method of claim 5 ,
wherein the first TTL value and the second TTL value are the same.

7. The computer-implemented method of claim 5 ,
wherein the first TTL value and the second TTL value are different.

8. The computer-implemented method of claim 5 , further comprising:
receiving, by the application cache and for the user, a modification of the first TTL value associated with the first information from the data stream; and
determining, based on the modification of the first TTL value, a third TTL value,
wherein the storing the first information and the first TTL value comprises storing, in the application cache, the first information and the third TTL value, and
wherein the storing the second information overwrites the first information and refreshes the third TTL value.

9. The computer-implemented method of claim 4 , further comprising:
storing, in the application cache, third information and a second TTL value;
detecting, by the server and from the data stream, fourth information;
updating, based on the fourth information, the third information; and
storing, in the application cache and based on the updating, an updated second TTL value associated the updated third information.

10. The computer-implemented method of claim 9 ,
wherein the third information is associated with a current account balance of the user, and
wherein the fourth information comprises a change in the current account balance, and
wherein updating, based on the fourth information, the current account balance results in an updated account balance.

11. The computer-implemented method of claim 4 , further comprising:
determining, from a table, the first TTL value associated with the first information.

12. The computer-implemented method of claim 4 , further comprising:
detecting, by the server, third information in the data stream;
based on a detection of the third

Assignees

• Capital One Services Llc

Inventors

• Gupta Prateek
• Wu Samuel
• Wyman Zachary
• Ordonez Ramiro

Classifications

• H04L67/5682 Primary

  Policies or rules for updating, deleting or replacing the stored data · CPC title

• G06N20/00

  Machine learning · CPC title

• H04L45/742

  Route cache; Operation thereof · CPC title

• H04L47/286

  Time to live · CPC title

• H04L49/206

  Real Time traffic · CPC title