Optimizing dynamic review generation for redirecting request links

Patent metadata

Field	Value
Publication number	US-11074629-B2
Application number	US-201916515855-A
Country	US
Kind code	B2
Filing date	Jul 18, 2019
Priority date	Nov 1, 2016
Publication date	Jul 27, 2021
Grant date	Jul 27, 2021

Abstract

A system and method to optimize dynamic review generation. A client device of a user is selected to provide a review of a merchant. A weighted event factor associated with multiple websites is identified. The system and method identify an input parameter provided by the merchant to be used with the weighted event factor to determine a first website of the multiple websites to receive the review of the merchant. A communication object is transmitted to the client device to redirect the client device to the first website to submit the review.

First claim

What is claimed is:

1. A computer-implemented method comprising:
selecting, by a processing device of a computing system, a client device of a user to provide a review of a merchant;
identifying, by the computing system, a weighted event factor associated with a plurality of websites;
identifying, by the computing system, an input parameter provided by the merchant;
determining, by the computing system, based on the weighted event factor and the input parameter, a first website of the plurality of websites to receive the review of the merchant;
transmitting, via a computer network, a dynamic redirection container comprising at least a uniform resource locator (URL) of the first website to the client device that redirects the client device to the URL of the first website to submit a posted review;
receiving via the dynamic redirection container the posted review of the merchant at the first website from the client device over the computer network; and
updating, by the computing system, the weighted event factor based on the posted review for the merchant provided by the client device.

2. The method of claim 1 , wherein a location associated with the client device and the merchant correspond.

3. The method of claim 1 , further comprising detecting a purchase using the client device of a product associated with the merchant.

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

5. The method of claim 1 , further comprising determining the weighted event factor for the first website is below a target review rating for the merchant at the first website.

6. The method of claim 1 , wherein the input parameter comprises a priority indicator.

7. The method of claim 6 , further comprising determining the weighted event factor for the first website is greater than or equal to the priority indicator provided by the merchant.

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:
select a client device of a user to provide a review of a merchant;
identify a weighted event factor associated with a plurality of websites;
identify an input parameter provided by the merchant;
determine, based on the weighted event factor and the input parameter, a first website of the plurality of websites to receive the review of the merchant;
transmit, via a computer network, a dynamic redirection container comprising at least a uniform resource locator (URL) of the first website to the client device that redirects the client device to the URL of the first website to submit a posted review;
receive via the dynamic redirection container the posted review of the merchant at the first web site from the client device over the computer network; and
update the weighted event factor based on the posted review for the merchant provided by the client device.

9. The system of claim 8 , wherein a location associated with the client device and the merchant correspond.

10. The system of claim 8 , the processing device further to detect a purchase using the client device of a product associated with the merchant.

11. The system of claim 8 , the processing device further to identify a browsing history of the client device that is associated with the merchant.

12. The system of claim 8 , the processing device further to determine the weighted event factor for the first website is below a target review rating for the merchant at the first website.

13. The system of claim 8 , wherein the input parameter comprises a priority indicator.

14. The system of claim 13 , the processing device further to determine the weighted event factor for the first website is greater than or equal to the priority indicator provided by the merchant.

15. A non-transitory computer readable storage medium having instructions that, when executed by a processing device of a computing system, cause the processing device to:
select a client device of a user to provide a review of a merchant;
identify a weighted event factor associated with a plurality of websites;
identify an input parameter provided by the merchant;
determine, based on the weighted event factor and the input parameter, a first website of the plurality of websites to receive the review of the merchant;
transmit, via a computer network, a dynamic redirection container comprising at least a uniform resource locator (URL) of the first website to the client device that redirects a communication object to the client device to redirect the client device to the URL of the first website to submit a posted review;
receive via the dynamic redirection container the posted review of the merchant at the first website from the client device over the computer network; and
update the weighted event factor based on the posted review for the merchant provided by the client device.

16. The non-transitory computer readable storage medium of claim 15 , wherein a location associated with the client device and the merchant correspond.

17. The non-transitory computer readable storage medium of claim 15 , the processing device further to detect a purchase using the client device of a product associated with the merchant.

18. The non-transitory computer readable storage medium of claim 15 , the processing device further to identify a browsing history of the client device that is associated with the merchant.

19. The non-transitory computer readable storage medium of claim 15 , the processing device further to determine the weighted event factor for the first website is below a target review rating for the merchant at the first website.

20. The non-transitory computer readable storage medium of claim 15 , the processing device further to determine the weighted event factor for the first website is greater than or equal to the input parameter comprising a priority indicator provided by the merchant.

Assignees

• Yext Inc

Inventors

• Berry Benjamin
• Ferrentino Marc

Classifications

• H04L51/046

  Interoperability with other network applications or services · CPC title

• 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

• G06Q30/0282 Primary

  Rating or review of business operators or products · CPC title