Identifying early adopters and items adopted by them

• US 7,536,322 B1
• Filed: 03/19/2004
• Issued: 05/19/2009
• Est. Priority Date: 03/19/2004
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Liu, David, Lathia, Bhavnish, Pang, Hoi-Cheung, Zhu, ShengHuo, Rusmevichientong, Paat, Selinger, David L.
• Primary Examiner(s): Smith; Jeffrey A.
• Assistant Examiner(s): DUNHAM, JASON B
• Application Number:
  US10/804,811
• Time in Patent Office: 1,887 Days
• Field of Search: 705/26, 705/27
• US Class Current: 705/26.5
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0621 Item configuration or customization

Abstract

Computer processes are disclosed for identifying and informing users of early adopter items. In one embodiment, scores are generated for particular items represented in an electronic catalog, with each score reflecting an extent to which a corresponding item has been ordered by customers who tend to order items promptly after they become available. Information pertaining to such scores may be incorporated into item detail pages of the electronic catalog to assist customers in making item selection decisions. For example, the electronic catalog may identify specific items as early adopter items, and/or may display information pertaining to the degree to which specific items are early adopter items.

Claims

1. A method in a computing system for assisting users in selecting items to order, comprising:

determining, for each of a plurality of items, via execution of instructions by a computing device, a score reflecting the extent to which the respective item has been ordered by customers who have been determined to commonly order items promptly after they become available, each score corresponding to a respective item; and

incorporating information pertaining to said scores into item detail pages of an electronic catalog that provides functionality for customers to browse and place orders for items, said information enabling customers to compare at least some of the items in terms of an extent to which such items have been ordered by customers who commonly order items promptly after they become available;

wherein the method comprises using said scores to select a subset of items that represent early adopter selections, and incorporating information into corresponding item detail pages identifying each item in said subset as an early adopter selection.

2. The method of claim 1 wherein the method comprises including an indication of the score for an item in an item detail page for the respective item, said item detail page providing functionality for users to order the respective item.

3. The method of claim 2 wherein the included indication explicitly indicates the item'"'"'s score.

4. The method of claim 2 wherein the included indication explicitly indicates a range into which the item'"'"'s score falls.

5. The method of claim 2 wherein the included indication indicates a relationship between the item'"'"'s score and scores for additional items.

6. The method of claim 1, wherein the method comprises generating each score such that it negatively relates to the amount of time that has elapsed since the respective item became available for ordering.

7. The method of claim 1, wherein the method comprises generating each score such that it positively relates to a price of the respective item.

8. The method of claim 1, wherein the method, including determining the scores, using the scores to select a subset of items, and incorporating information into item detail pages, is performed by a machine that comprises one or more computing devices.

9. A computer-readable medium whose contents cause a computing system to perform a method that comprises:

for each of a plurality of items, determining a score for the item in a manner that causes it to (1) positively relate to the extent to which the item has been ordered by customers who have been determined to commonly order items promptly after they become available, (2) positively relate to the item'"'"'s price, and (3) negatively relate to the amount of time that has elapsed since the item became available for ordering;

storing, in physical computer storage, indications identifying at least a portion of the items having the highest scores; and

responsive to a user accessing an item detail page for a first item of said items having the highest scores during browsing of an electronic catalog of items, outputting information to the user, via the item detail page, that reveals at least a range in which the first item'"'"'s score falls, said item detail page being specific to said first item and providing functionality for placing an order for the first item.

10. The computer-readable medium of claim 9 wherein the contents of the computer-readable medium further cause the computer system to include, in item detail pages corresponding to said items having the highest scores, indications of the corresponding scores.

11. The computer-readable medium of claim 9 wherein the information comprises an indication of a percentile range associated with the score for the first item.

12. A system, comprising:

a computer data repository that stores purchase history data of each of a plurality of users, said purchase history data identifying purchases made by users of items represented in an electronic catalog of items, and specifying dates of said purchases, said electronic catalog including item detail pages corresponding to respective items;

a computer data repository that stores data regarding dates that particular items represented in the electronic catalog became available;

a data analyzer operative to use the purchase history data, in combination with the data regarding dates that particular items became available, to generate, for each of a plurality of said items, a score reflecting an extent to which the respective item has been purchased by users who are early adopters of new items, said data analyzer comprising executable code stored on a computer-readable medium; and

a subsystem operative to cause information pertaining to said scores to be included on at least some of the item detail pages of the electronic catalog to assist users in making item selection decisions, said information enabling users to compare items in terms of an extent to which the items have been purchased by early adopters of new items.

13. The system of claim 12, wherein the information pertaining to said scores comprises an indication of a percentile range in which an item falls relative to other items.

14. The system of claim 12, wherein the information pertaining to said scores comprises numerical representations of said scores.

15. The system of claim 12, wherein the information pertaining to said scores comprises, for selected items whose scores satisfy a threshold, indications that said items are early adopter items.

16. The system of claim 12, wherein the data analyzer is operative to take item price information into consideration in generating the scores.

17. The system of claim 12, wherein the data analyzer is operative to generate the scores such that the score for an item negatively relates to an amount of time that has elapsed since the item became available.

18. The system of claim 12, wherein the data analyzer is operative to generate the scores such that the score for an item positively relates to a price of the item.

19. The system of claim 12, wherein the data analyzer comprises computer hardware that executes said executable code.