IDENTIFYING PART INTERCHANGES AT ELECTRONIC MARKETPLACES

• US 20140304104A1
• Filed: 04/08/2013
• Published: 10/09/2014
• Est. Priority Date: 04/08/2013
• Status: Abandoned Application

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Ladue, Shahrul Azri, Brown, Gretchen Jane, Daigler, Heidi Lynn, Harhen, Matthew Paul
• Application Number:
  US13/858,400
• Publication Number:
  US 20140304104A1
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

Electronic marketplaces offer a variety of items to customers over the Internet. Where two or more items are interchangeable with or equivalent to one another, such items may be utilized in the same applications and in the same manner, and marketed and sold together as interchanges or equivalents. Such items may be identified as interchangeable with or equivalent to one another based on a qualitative or quantitative score, which may consider any available information or attributes regarding the items, and may increase or decrease over time as the confidence in a determination of interchangeability or equivalence improves or declines. Moreover, such information or attributes may be identified from any source, such as sellers, vendors or manufacturers of the items, and qualitative or quantitative scores indicative of the accuracy or reliability of such information or attributes may be assigned to such sources, as well.

Claims

1. A non-transitory computer-readable medium having computer-executable instructions stored thereon,

wherein the instructions, when executed, cause a computer having at least one computer processor to perform a method comprising:

receiving a request to offer a proposed item for sale at an electronic marketplace from a seller over a network, wherein the request comprises functional attributes of the proposed item;

receiving an identification of an available item as an equivalent to the proposed item from the seller over the network;

identifying functional attributes of the available item;

calculating a confidence score indicative of a relationship between the available item and the proposed item based at least in part on a comparison of the functional attributes of the proposed item to the functional attributes of the available item;

calculating a confidence score for the seller based at least in part on at least one of the identification of the available item as the equivalent to the proposed item received from the seller or the confidence score indicative of the relationship between the available item and the proposed item; and

causing a display of an item detail page comprising information regarding the proposed item.

2. The computer-readable medium of claim 1, wherein the item detail page indicates an equivalence of the proposed item to the available item, and

wherein the equivalence of the proposed item is based at least in part on the confidence score for the proposed item.

3. A computer-implemented method for identifying interchangeable items comprising:

receiving, over a network, information regarding a first item to be offered for acquisition at an electronic marketplace from a source of the first item, wherein the information regarding the first item comprises a functional attribute of the first item;

identifying, using a computer processor, information regarding a second item offered for acquisition at the electronic marketplace, wherein the information regarding the second item comprises a functional attribute of the second item; and

determining, using the computer processor, a degree of equivalence between the first item and the second item based at least in part on the information regarding the first item and the information regarding the second item.

4. The computer-implemented method of claim 3, wherein determining the degree of equivalence comprises calculating, using the computer processor, a confidence score indicative of the degree of equivalence between the first item and the second item.

5. The computer-implemented method of claim 4, further comprising calculating, using the computer processor, a confidence score for a source of the first item based at least in part on the degree of equivalence between the first item and the second item,

wherein the information regarding the first item identifies the second item as an equivalent of the first item.

6. The computer-implemented method of claim 3, further comprising causing, using the computer processor, a display of the item detail page on a computer display.

7. The computer-implemented method of claim 3, wherein the degree of equivalence is based at least in part on a comparison of the functional attribute of the first item to the functional attribute of the second item using the computer processor.

8. The computer-implemented method of claim 4, further comprising:

identifying, using the computer processor, a first confidence threshold; and

generating, using the computer processor, an item detail page comprising at least some of the information regarding at least one of the first item or the second item based at least in part on the degree of equivalence between the first item and the second item,

wherein the item detail page identifies the first item as an equivalent of the second item if the confidence score indicative of the degree of equivalence between the first item and the second item satisfies the first confidence threshold.

9. The computer-implemented method of claim 4, further comprising:

identifying, using the computer processor, a second confidence threshold; and

generating, using the computer processor, an item detail page comprising at least some of the information regarding one of the first item or the second item based at least in part on the degree of equivalence between the first item and the second item,

wherein the second confidence threshold is less than the first confidence threshold, and

wherein the item detail page identifies the first item as an alternative to the second item if the confidence score indicative of the degree of equivalence between the first item and the second item satisfies the second confidence threshold and does not satisfy the first confidence threshold.

10. The computer-implemented method of claim 9, wherein the item detail page does not associate the first item with the second item if the confidence score does not satisfy the second confidence threshold.

11. The computer-implemented method of claim 3, further comprising:

receiving, over the network, a request for items associated with a keyword, wherein the second item is associated with the keyword;

generating, using the computer processor, an item detail page comprising at least some of the information regarding at least one of the first item or the second item based at least in part on the degree of equivalence between the first item and the second item; and

causing, using the computer processor, a display of the item detail page in response to the request.

12. The computer-implemented method of claim 11, wherein the item detail page presents the first item and the second item as equivalent items in response to the request.

13. The computer-implemented method of claim 11, wherein the item detail page presents the second item in response to the request, and wherein the item detail page presents the first item as an alternative to the second item.

14. The computer-implemented method of claim 5, further comprising:

receiving, over the network, an order for the first item;

modifying, using the computer processor, the confidence score indicative of the degree of equivalence between the first item and the second item based at least in part on the order; and

modifying, using the computer processor, the confidence score of the source of the first item based at least in part on the order.

15. The computer-implemented method of claim 5, further comprising:

receiving, over the network, information regarding a return of the first item;

modifying, using the computer processor, the confidence score indicative of the degree of equivalence between the first item and the second item based at least in part on the return of the first item; and

modifying, using the computer processor, the confidence score of the source of the first item based at least in part on the return of the first item.

16. The computer-implemented method of claim 5, further comprising:

receiving feedback from at least one customer regarding one of the first item or the second item; and

modifying the confidence score indicative of the degree of equivalence between the first item and the second item based at least in part on the feedback received from the at least one customer, using the computer processor.

17. The computer-implemented method of claim 4, wherein the confidence score indicative of the degree of equivalence between the first item and the second item is calculated according to a formula.

18. The computer-implemented method of claim 17, wherein the formula comprises a sum of factors relating to at least one of the information regarding the first item received from the source of the first item, information received from a manufacturer of the first item, information regarding a purchase of the first item, or information regarding a return of the first item.

19. The computer-implemented method of claim 4, wherein the confidence score for the source of the first item is calculated according to a formula.

20. The computer-implemented method of claim 19, wherein the formula comprises a sum of factors relating to at least one of the information regarding the first item received from the source of the first item, information received from a manufacturer of the first item, information regarding a purchase of the first item, or information regarding a return of the first item.

21. A computer system comprising:

a data store configured to store item data; and

a computing device in communication with the data store, the computing device configured to at least;

receive a request to offer a new item via an electronic marketplace from a source of the new item, wherein the request identifies a functional attribute of the new item and an existing item with which the new item is interchangeable;

determine whether the new item is interchangeable with the existing item based at least in part on a comparison of the functional attribute of the new item to a functional attribute of the existing item;

in response to determining that the new item is interchangeable with the existing item,

assign a trust score to the new item based at least in part on the determination that the new item is interchangeable with the existing item; and

assign a trust score to the source of the new item based at least in part on the determination that the new item is interchangeable with the existing item.

22. The computer system of claim 21, wherein the computing device is further configured to at least:

receive a keyword associated with the existing item;

cause a display of search results corresponding to the keyword, wherein the search results include the existing item and the new item;

receive request for the new item;

modify the trust score of the new item based at least in part on the request for the new item; and

modify the trust score of the source of the new item based at least in part on the request for the new item.

23. The computer system of claim 21, wherein the computing device is further configured to at least:

receive information regarding a return of the new item;

modify the trust score of the new item based at least in part on the return; and

modify the trust score of the source of the new item based at least in part on the return.

24. The computer system of claim 21, wherein the computing device is further configured to at least:

receive an identification of the existing item as an equivalent to the new item from a manufacturer of the new item;

modify the trust score of the new item based at least in part on the identification; and

modify the trust score of the source of the new item based at least in part on the identification.