Tying objective ratings to online items

• US 10,096,045 B2
• Filed: 05/31/2013
• Issued: 10/09/2018
• Est. Priority Date: 05/31/2013
• Status: Active Grant

• Current Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Original Assignee: Walmart Apollo, LLC (WalMart Inc.)
• Inventors: Bash, David Stephen, Patterson, David
• Primary Examiner(s): Austin, Jamie H
• Application Number:
  US13/907,478
• Publication Number:
  US 20140358819A1
• Time in Patent Office: 1,957 Days
• Field of Search: 705 146, 705347, 705 1449, 705 1444
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

The present disclosure extends to methods, systems, and computer program products for providing item reviews to an online customer from third party sources during a shopping session on a retail website.

Claims

1. A method for execution by one or more computer servers associated with a merchant website of a merchant comprising:

providing one or more computer databases that include data configured to create item webpages for the merchant website, wherein;

the data includes first reviews that are retrieved from one or more third party databases stored on one or more third party servers, and second reviews that are provided by customers of the merchant website; and

at least a portion of the first reviews are non-public reviews retrieved from the one or more third party databases;

determining a target item, the target item viewed by a customer at the merchant website;

storing representative data associated with the target item in computer memory;

identifying a corresponding item on a third party website over a computer network by comparing the representative data associated with the target item to one or more items on the third party website, the one or more items comprising the corresponding item;

retrieving one or more non-public reviews of the corresponding item from a third party database selected from the one or more third party databases after the customer has reached a predetermined threshold with the merchant, the third party database associated with the third party website, and the first reviews comprising the one or more non-public reviews;

storing the one or more non-public reviews in the one or more computer databases;

in response to the customer selecting a search result associated with the target item,

causing the one or more computer servers to create an item webpage at the merchant website using the data stored in the one or more computer databases to

create the item webpage at the merchant website, wherein;

the item webpage is associated with the target item; and

the item webpage is created, at least in part, by defining an item review section that combines the one or more non-public reviews of the corresponding item that are from the third party database with one or more reviews of the target item that are received directly through the merchant website, the second reviews comprising the one or more reviews; and

providing the one or more non-public reviews of the corresponding item that are from the third party database and the one or more reviews of the target item that are received directly through the merchant website to the customer within the item webpage.

2. The method of claim 1, further comprising:

determining whether the target item is identical to the corresponding item on the third party website.

3. The method of claim 1, further comprising:

determining a class of the target item;

wherein;

the corresponding item on the third party website is from within a same class as the target item.

4. The method of claim 3, wherein:

one or more other reviews for other items from within the class are provided to the customer.

5. The method of claim 1, wherein:

the third party database further comprises one or more public reviews that are available for public viewing.

6. The method of claim 1, wherein:

a rating based at least in part on the one or more non-public reviews is provided for the target item.

7. The method of claim 1, wherein:

the predetermined threshold is a predetermined amount of money the customer has spent with the merchant.

8. The method of claim 1, wherein:

the predetermined threshold is a survey that the customer has completed for the merchant.

9. The method of claim 1, wherein:

the one or more non-public reviews in the third party database are behind a paywall.

10. The method of claim 1, further comprising:

determining whether the target item is identical to the corresponding item on the third party website; and

determining a class of the target item;

wherein;

the corresponding item on the third party website is from within a same class as the target item;

one or more other reviews for other items from within the class are provided to the customer;

the third party database further comprises one or more public reviews that are available for public viewing;

a rating based at least in part on the one or more non-public reviews is provided for the target item;

the predetermined threshold is at least one of;

a predetermined amount of money the customer has spent with the merchant;

or

a survey that the customer has completed for the merchant; and

the third party database requires payment to retrieve the one or more non-public reviews.

11. A system comprising:

(a) one or more processors;

(b) one or more computer databases that include data configured to create item webpages for a merchant website;

wherein the data includes first reviews that are retrieved from one or more third party databases stored on one or more third party servers, and second reviews that are provided by customers of the merchant website; and

wherein at least a portion of the first reviews are non-public reviews retrieved from the one or more third party databases; and

(c) one or more computer servers associated with the merchant website and being coupled to the one or more computer databases, each of the one or more computer servers including one or more non-transitory memory devices operably coupled to the one or more processors and storing executable and operational data, the executable and operational data effective to cause the one or more processors to;

determine a target item, the target item viewed by a customer at the merchant website; and

store representative data associated with the target item in computer memory;

identify a corresponding item on a third party website over a computer network by comparing the representative data associated with the target item to one or more items on the third party website, the one or more items comprising the corresponding item;

retrieve one or more non-public reviews of the corresponding item from a third party database selected from the one or more third party databases after the customer has reached a predetermined threshold with a merchant, the third party database being associated with the third party website, and the first reviews comprising the one or more non-public reviews;

store the one or more non-public reviews in the one or more computer databases;

in response to the customer selecting a search result associated with the target item, causing the one or more computer servers to create an item webpage at the merchant website using the data stored in the one or more computer databases, wherein;

the item webpage is associated with the target item; and

the item webpage is created, at least in part, by defining an item review section that combines the one or more non-public reviews of the corresponding item that are from the third party database with one or more reviews of the target item that are received directly through the merchant website, the second reviews comprising the one or more reviews; and

provide the one or more non-public reviews of the corresponding item that are from the third party database and the one or more reviews of the target item received directly through the merchant website to the customer within the item webpage.

12. The system of claim 11, wherein the executable and operational data is effective to further cause the one or more processors to:

determine whether the target item is identical to the corresponding item on the third party website.

13. The system of claim 12, wherein the executable and operational data is effective to further cause the one or more processors to:

determine a class of the target item;

wherein;

the corresponding item on the third party website is from within a same class as the target item.

14. The system of claim 13, wherein:

one or more other reviews for other items from within the class are provided to the customer.

15. The system of claim 11, wherein:

the third party database further comprises one or more public reviews that are available for public viewing.

16. The system of claim 11, wherein:

a rating based at least in part on the one or more non-public reviews is provided for the target item.

17. The system of claim 11, wherein:

the predetermined threshold is a predetermined amount of money the customer has spent with the merchant.

18. The system of claim 11, wherein:

the predetermined threshold is a survey that the customer has completed for the merchant.

19. The system of claim 11, wherein:

the one or more non-public reviews in the third party database are behind a paywall.

20. The system of claim 11, wherein:

the executable and operational data is effective to further cause the one or more processors to;

determine whether the target item is identical to the corresponding item on the third party website; and

determine a class of the target item;

the corresponding item on the third party website is from within a same class as the target item;

one or more other reviews for other items from within the class are provided to the customer;

the third party database further comprises one or more public reviews that are available for public viewing;

a rating based at least in part on the one or more non-public reviews is provided for the target item;

the predetermined threshold is at least one of;

a predetermined amount of money the customer has spent with the merchant;

or

a survey that the customer has completed for the merchant; and

the third party database requires payment to retrieve the one or more non-public reviews.