Online merchant review management using dynamic resource locator redirection to distribute a review request

Patent metadata

Field	Value
Publication number	US-11699175-B2
Application number	US-202117354701-A
Country	US
Kind code	B2
Filing date	Jun 22, 2021
Priority date	Nov 1, 2016
Publication date	Jul 11, 2023
Grant date	Jul 11, 2023

Abstract

A system and method to optimize dynamic review generation. A user device associated with a user is selected to provide a review of a merchant. A weighted event factor associated at least a portion of a plurality of websites to which the review can be redirected is identified. Based on the weighted event factor, a first website of the plurality of websites to which to redirect the user device is determined. A dynamic redirection container is transmitted that redirects the client device to the first website, wherein the dynamic redirection container receives a posted review of the merchant at the first website. Based on the posted review associated with the merchant, the weighted event factor is updated.

First claim

What is claimed is:

1. A computer-implemented method comprising:
identifying, by a processing device of a computing system, a user device associated with a user to provide a review of a merchant;
identifying, by the computing system, a weighted event factor associated with at least a portion of a plurality of websites to which the review can be redirected;
determining, by the computing system, based on the weighted event factor, a first website of the plurality of websites to which to redirect the user device;
transmitting, via a computer network, a dynamic redirection container that redirects the user device to the first website;
receiving, via the dynamic redirection container from the user device, a posted review of the merchant at the first website;
updating, based on the posted review associated with the merchant, the weighted event factor; and
receiving, from a merchant system, an adjustment of the weighted event factor associated with at least the portion of the plurality of websites.

2. The method of claim 1 , further comprising determining the user device is located at a location associated with the merchant.

3. The method of claim 1 , further comprising detecting a transaction, executed using the user device, associated with the merchant.

4. The method of claim 1 , further comprising identifying a browsing history of the user device that is associated with the merchant.

5. The method of claim 1 , further comprising determining the weighted event factor associated with the first website is below a threshold value.

6. The method of claim 5 , wherein the weighted event factor comprises a current amount of reviews associated with the merchant that are posted at the first website.

7. The method of claim 1 , wherein the weighted event factor comprises a first priority indicator associated with the first website of the plurality of websites; and wherein the first priority indicator is greater than a second priority indicator associate with a second website of the plurality of websites.

8. A system comprising:
a memory to store instructions; and
a processing device operatively coupled to the memory, the processing device to execute the instructions to perform operations comprising:
identifying a user device associated with a user to provide a review of a merchant;
identifying a weighted event factor associated with at least a portion of a plurality of websites to which the review can be redirected;
determining, based on the weighted event factor, a first website of the plurality of websites to which to redirect the user device;
transmitting, via a computer network, a dynamic redirection container that redirects the user device to the first website, wherein the dynamic redirection container receives a posted review of the merchant at the first website;
updating, based on the posted review associated with the merchant, the weighted event factor; and
receiving, from a merchant system, an adjustment of the weighted event factor associated with at least the portion of the plurality of websites.

9. The system of claim 8 , the operations further comprising determining the user device is located at a location associated with the merchant.

10. The system of claim 8 , the operations further comprising detecting a transaction, executed using the user device, associated with the merchant.

11. The system of claim 8 , the operations further comprising identifying a browsing history of the user device that is associated with the merchant.

12. The system of claim 8 , the operations further comprising determining the weighted event factor associated with the first website is below a threshold value.

13. The system of claim 12 , wherein the weighted event factor comprises a current amount of reviews associated with the merchant that are posted at the first website.

14. The system of claim 8 , wherein the weighted event factor comprises a first priority indicator associated with the first website of the plurality of websites; and wherein the first priority indicator is greater than a second priority indicator associate with a second website of the plurality of websites.

15. A non-transitory computer readable storage medium having instructions that, when executed by a processing device, cause the processing device to perform operations comprising:
identifying a user device associated with a user to provide a review of a merchant;
identifying a weighted event factor associated with at least a portion of a plurality of websites to which the review can be redirected;
determining, based on the weighted event factor, a first website of the plurality of websites to which to redirect the user device;
transmitting, via a computer network, a dynamic redirection container that redirects the user device to the first website, wherein the dynamic redirection container receives a posted review of the merchant at the first website;
updating, based on the posted review associated with the merchant, the weighted event factor; and
receiving, from a merchant system, an adjustment of the weighted event factor associated with at least the portion of the plurality of websites.

16. The non-transitory computer readable storage medium of claim 15 , the operations further comprising determining the user device is located at a location associated with the merchant.

17. The non-transitory computer readable storage medium of claim 15 , the operations further comprising detecting a transaction, executed using the user device, associated with the merchant.

18. The non-transitory computer readable storage medium of claim 15 , the operations further comprising identifying a browsing history of the user device that is associated with the merchant.

19. The non-transitory computer readable storage medium of claim 15 , the operations further comprising determining the weighted event factor associated with the first website is below a threshold value.

20. The non-transitory computer readable storage medium of claim 19 , wherein the weighted event factor comprises a current amount of reviews associated with the merchant that are posted at the first website.

Assignees

• Yext Inc

Inventors

• Berry Benjamin
• Ferrentino Marc

Classifications

• G06Q30/0201 Primary

  Market modelling; Market analysis; Collecting market data · CPC title

• G06F16/955

  using information identifiers, e.g. uniform resource locators [URL] · CPC title

• H04L51/046

  Interoperability with other network applications or services · CPC title

• G06Q30/0282 Primary

  Rating or review of business operators or products · CPC title