Systems and methods for generating personalized landing pages for users

Patent metadata

Field	Value
Publication number	US-12008582-B2
Application number	US-202217935363-A
Country	US
Kind code	B2
Filing date	Sep 26, 2022
Priority date	Mar 27, 2020
Publication date	Jun 11, 2024
Grant date	Jun 11, 2024

Abstract

Method and system for generating a personalized landing page for a user are disclosed. For example, the method includes receiving, by a computing device, one or more user data associated with the user, the one or more user data including one or more telematics data of the user, determining, by the computing device, one or more user interface features based at least in part upon the one or more user data, and generating, by the computing device, a personalized landing page customized for the user using the one or more user interface features to increase an effectiveness of the personalized landing page.

First claim

What is claimed is:

1. A computer-implemented method for generating a personalized landing page for a user, the method comprising:
receiving, by a computing device, one or more user data associated with the user, wherein the one or more user data include one or more telematics data of the user, wherein the one or more telematics data is, at least in part, received from one or more sensors located in a vehicle when the user is operating the vehicle, and wherein the one or more telematics data includes information related to one or more driving behaviors of the user;
determining, by the computing device, one or more user interface features based at least in part upon the one or more user data; and
generating, by the computing device, a personalized landing page customized for the user using the one or more user interface features to increase an interaction rate with the personalized landing page.

2. The computer-implemented method of claim 1 , wherein the receiving the one or more user data associated with the user includes receiving, by the computing device, the one or more user data associated with the user from an application installed on a mobile device of the user.

3. The computer-implemented method of claim 1 , further comprising presenting, in response to the user accessing an application, the personalized landing page to the user.

4. The computer-implemented method of claim 1 , wherein the determining the one or more user interface features includes determining one or more lifestyle characteristics of the user based at least in part upon the one or more telematics data of the user.

5. The computer-implemented method of claim 4 wherein the determining the one or more user interface features further includes selecting the one or more user interface features from a plurality of user interface features through uplifting modeling based at least in part upon the one or more lifestyle characteristics of the user.

6. The computer-implemented method of claim 1 , wherein the one or more user interface features includes a number of eternal trees the user has earned or planted.

7. The computer-implemented method of claim 1 , wherein the one or more user interface features includes a ranking indicating how the user is ranked compared to other users in terms of carbon neutrality and/or driving ability.

8. The computer-implemented method of claim 1 , wherein the generating the personalized landing page customized for the user using the one or more user interface features includes selecting the one or more user interface features to increase a likelihood of the user taking an action based on the personalized landing page.

9. The computer-implemented method of claim 8 , wherein the selecting the one or more user interface features to increase the likelihood of the user taking the action based on the personalized landing page includes selecting the one or more user interface features to increase a likelihood of the user purchasing at least one item selected from a group consisting of a product and a service.

10. A computing device for generating a personalized landing page for a user, the computing device comprising:
a processor; and
a memory having a plurality of instructions stored thereon that, when executed by the processor, cause the computing device to:
receive one or more user data associated with the user, wherein the one or more user data include one or more telematics data of the user, wherein the one or more telematics data is, at least in part, received from one or more sensors located in a vehicle when the user is operating the vehicle, and wherein the one or more telematics data includes information related to one or more driving behaviors of the user;
determine one or more user interface features based at least in part upon the one or more user data; and
generate a personalized landing page customized for the user using the one or more user interface features to increase an interaction rate with the personalized landing page.

11. The computing device of claim 10 , wherein the plurality of instructions, when executed, further cause the computing device to present, in response to the user accessing an application, the personalized landing page to the user.

12. The computer-implemented method of claim 1 , wherein the one or more driving behaviors of the user include one or more of a driving habit, a driving pattern, a place that the user has been, a braking behavior, a steering behavior, an acceleration behavior, a maneuvering behavior, or a proximity behavior.

13. The computing device of claim 10 , wherein to receive the one or more user data associated with the user includes to receive the one or more user data associated with the user from an application installed on a mobile device of the user.

14. The computing device of claim 13 , wherein to determine the one or more user interface features includes to determine one or more lifestyle characteristics of the user based at least in part upon the one or more telematics data of the user.

15. The computing device of claim 14 , wherein to determine the one or more user interface features further includes to select the one or more user interface features from a plurality of user interface features through uplifting modeling based at least in part upon the one or more lifestyle characteristics of the user.

16. The computing device of claim 13 , wherein the one or more user interface features includes a number of eternal trees the user has earned or planted.

17. The computing device of claim 13 , wherein the one or more user interface features includes a ranking indicating how the user is ranked compared to other users in terms of carbon neutrality and/or driving ability.

18. The computing device of claim 13 , wherein to generate the personalized landing page customized for the user using the one or more user interface features includes to select the one or more user interface features to increase a likelihood of the user taking an action based on the personalized landing page.

19. The computing device of claim 18 , wherein to select the one or more user interface features to increase the likelihood of the user taking the action based on the personalized landing page includes to select the one or more user interface features to increase a likelihood of the user purchasing at least one item selected from a group consisting of a product and a service.

20. The computing device of claim 13 , wherein the one or more driving behaviors of the user include one or more of a driving habit, a driving pattern, a place that the user has been, a braking behavior, a steering behavior, an acceleration behavior, a maneuvering behavior, or a proximity behavior.

Assignees

• Blueowl Llc

Inventors

• Sanchez Kenneth Jason

Classifications

• G06N3/092

  Reinforcement learning · CPC title

• G06N3/0464

  Convolutional networks [CNN, ConvNet] · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06Q50/40

  Business processes related to the transportation industry (shipping G06Q10/083) · CPC title

• G07C5/0841

  Registering performance data (recording measured values G01D; information storage G11B) · CPC title