Personalized promotion of new content

• US 7,930,218 B1
• Filed: 03/26/2008
• Issued: 04/19/2011
• Est. Priority Date: 02/28/2001
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Gregov, Andrej, Linden, Greg, York, Jeremy Charles, Smith, Brent, Petersen, Josh
• Primary Examiner(s): HAQ, NAEEM U
• Application Number:
  US12/056,125
• Time in Patent Office: 1,119 Days
• Field of Search: 705/26, 705/27
• US Class Current: 705/26.8
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

A facility for presenting information about new items, such as new items available via a web site is described. The facility receives a request for information submitted on behalf of an identified user. In processing the request, the facility accesses a set of items having effective times. The facility performs a first filtering process to eliminate items of the set whose effective times indicate that the items are not new. The facility performs a second filtering process to eliminate items of the set in which the user likely has a low level of interest. Subsequent to both the first and second filterings, the facility presents to the user information about each of at least a portion of the filtered items.

Claims

1. A computer-implemented method for presenting information about new items, comprising:

under control of one or more configured computing systems,

receiving a request for information submitted on behalf of an identified user;

accessing a set of items having effective times associated with corresponding dates on which the items became available for purchase or consumption;

performing a first filtering to eliminate items of the set whose effective times indicate that the items are not new;

performing a second filtering to eliminate items of the set in which the user likely has a low level of interest; and

subsequent to both the first and second filterings, presenting to the user information about each of at least a portion of the filtered items.

2. The computer-implemented method of claim 1 wherein the first filtering involves comparing the effective time of each item to a last visit time.

3. The computer-implemented method of claim 1 wherein the first filtering involves comparing the effective time of each item to an offset from the current time.

4. The computer-implemented method of claim 1 wherein the second filtering is performed using a recommendation engine.

5. The computer-implemented method of claim 4 wherein the second filtering is performed using a list of products, genres, authors, or other items generated by the recommendation engine using previous purchases, ratings, pages viewed, or other actions of a customer in comparison with other similar customers.

6. The computer-implemented method of claim 1 wherein the second filtering is performed using information associated with the user that reflects the user'"'"'s interests.

7. The computer-implemented method of claim 1 wherein the second filtering is performed using information reflecting the interest of a user population including the user in items of the set.

8. The computer-implemented method of claim 1 wherein the second filtering is performed using information reflecting the interest of all users in items of the set.

9. The computer-implemented method of claim 1 wherein the second filtering is performed using information reflecting overall consumption of items of the set.

10. The computer-implemented method of claim 1 wherein the second filtering is performed based upon input from a human editor.

11. The computer-implemented method of claim 1 wherein the first filtering is performed prior to the second filtering.

12. The computer-implemented method of claim 1 wherein the second filtering is performed prior to the first filtering.

13. The computer-implemented method of claim 1 wherein the first filtering is performed prior to receiving the request.

14. The computer-implemented method of claim 1 wherein the first filtering is performed in response to receiving the request.

15. The computer-implemented method of claim 1 wherein the second filtering is performed prior to receiving the request.

16. The computer-implemented method of claim 1 wherein the second filtering is performed in response to receiving the request.

17. The computer-implemented method of claim 1 wherein the presenting includes displaying information about each of at least a portion of the filtered items.

18. The computer-implemented method of claim 1 wherein the presenting includes serving a web page containing information about each of at least a portion of the filtered items.

19. The computer-implemented method of claim 1 wherein the presenting includes transmitting a message containing information about each of at least a portion of the subsetted items.

20. The computer-implemented method of claim 19 wherein an electronic message is transmitted.

21. The computer-implemented method of claim 19 wherein a physical message is transmitted.

22. A computing system for presenting information about new items, comprising:

a receiver that receives a request for information submitted on behalf of an identified user;

one or more memories containing information about a set of items having effective times associated with corresponding dates on which the items became available for purchase or consumption;

a first subsetting component for performing a first subsetting to eliminate items of the set whose effective times indicate that the items are not new;

a second subsetting component for performing a second subsetting to eliminate items of the set in which the user likely has a low level of interest; and

an information presentation subsystem that presents to the user information about each of at least a portion of the items subsetted by both the first and second subsetting components.

23. The computing system of claim 22, wherein the first subsetting component performs the first subsetting by comparing the effective time of each item of the set to a last visit time of the identified user.

24. The computing system of claim 22, wherein the second subsetting component performs the second subsetting using information associated with the identified user that reflects the interests of the identified user.

25. The computing system of claim 22, wherein the second subsetting component performs the second subsetting using information reflecting the interest of a user population in items of the set, wherein the user population includes the identified user.