Merchandising items of topical interest

• US 8,121,905 B2
• Filed: 05/31/2011
• Issued: 02/21/2012
• Est. Priority Date: 07/25/2007
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Mohan, Sunil
• Primary Examiner(s): Smith, Jeffrey A
• Assistant Examiner(s): STOPP, COURTNEY L
• Application Number:
  US13/118,847
• Publication Number:
  US 20110231279A1
• Time in Patent Office: 266 Days
• Field of Search: 705/26, 705/27
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

Various embodiments are described herein that provide one or more of a systems, methods, software, and data structures within an Internet marketplace context that are useful to promote products that may be associated with an event occurrence. Some embodiments further utilize collaborative filtering to augment event-based product recommendations.

Claims

1. A non-transitory computer readable medium, with instructions thereon, which when executed, cause a suitably configured computing system to:

receive, from a remote source, an indication of an event that has occurred;

after the event occurrence, store a representation of the event occurrence in a database including a date of the event occurrence;

associate the event occurrence with one or more entities in an entity database; and

recommend at least one or more products associated with the entity and event occurrence to a prospective purchaser within a period following the date of the event occurrence.

2. The non-transitory computer readable medium of claim 1, wherein receiving an indication of an event occurrence includes:

receiving event data from a remote source;

processing the event data in view of watch data stored in a watch rule database to identify watch data within the event data;

applying a rule associated with watch data identified within the event data to associate the event data to product data stored in the product database.

3. The non-transitory computer readable medium of claim 2, wherein applying the rule associated with the watch data identified within the event data includes applying a rule to associate the event data to a category of products stored in the product database.

4. The non-transitory computer readable medium of claim 2, wherein:

receiving event data from a remote source includes executing a trawling process that retrieves web pages from one or more web sites; and

processing the event data in view of watch data stored in the watch rule database includes identifying text in retrieved web pages included in one or more watch data rules stored in the watch rule database.

5. The non-transitory computer readable medium of claim 2, wherein:

receiving event data from a remote source includes receiving data from a blog.

6. The non-transitory computer readable medium of claim 2, wherein:

receiving event data from a remote source includes receiving data from a website including textual postings by users.

7. The non-transitory computer readable medium of claim 1, wherein recommending at least one of the one or more products associated with the event occurrence to a prospective purchaser includes:

identifying and ranking products or product categories the prospective purchaser is likely to be interested in utilizing collaborative filtering;

modifying the ranking of products or product categories the prospective purchaser is likely to be interested in as a function of at least one event occurrence associated with at least one identified product or product category.

8. The non-transitory computer readable medium of claim 1, wherein recommending at least one of the one or more products associated with the event occurrence to a prospective purchaser includes providing a product recommendation as data over a network for presentation to the prospective purchaser.

9. A computer implemented method comprising:

receiving, from a remote source, an indication of an event that has occurred;

after the event occurrence, storing a representation of the event occurrence in a database including a date of the event occurrence;

associating the event occurrence with one or more entities in an entity database, the associating including execution of instructions on at least one processor; and

recommending at least one or more products associated with the entity and event occurrence to a prospective purchaser within a period following the date of the event occurrence.

10. The method of claim 9, wherein associating the event occurrence with one or more products represented in the product database includes associating the event occurrence with at least one category of products represented in the product database.

11. The method of claim 9, wherein receiving an indication of an event occurrence includes:

receiving event data from a remote source;

processing the event data in view of watch data stored in a watch rule database to identify watch data within the event data;

applying a rule associated with watch data identified within the event data to associate the event data to product data stored in the product database.

12. The method of claim 11, wherein apply the rule associated with the watch data identified within the event data includes apply a rule to associate the event data to a category of products stored in the product database.

13. The method of claim 11, wherein:

receiving event data from a remote source includes executing a trawling process that retrieves web pages from one or more web sites; and

processing the event data in view of watch data stored in the watch rule database includes identifying text in retrieved web pages included in one or more watch data rules stored in the watch rule database.

14. The method of claim 9, wherein recommending at least one of the one or more products associated with the event occurrence to a prospective purchaser within a period following the date of the event occurrence includes:

identifying and ranking products or product categories the prospective purchaser is likely to be interested in utilizing collaborative filtering;

modifying the ranking of products or product categories the prospective purchaser is likely to be interested in as a function of at least one event occurrence associated with at least one identified product or product category.

15. A system comprising:

at least one processor;

at least one memory device;

at least one network interface device;

instructions stored in the at least one memory device and executable by the at least one processor to cause the system to;

receive, from a remote source via the network interface device, an indication of an event that has occurred;

after the event occurrence, store a representation of the event occurrence in a database accessible via the network interface device, the stored event occurrence representation including a date of the event occurrence;

associate the event occurrence with one or more entities in an entity database accessible via the network interface device; and

recommend at least one or more products associated with the entity and event occurrence to a prospective purchaser within a period following the date of the event occurrence, the recommendation provided via the network interface device in response to a product recommendation request.

16. The system of claim 15, wherein receiving an indication of an event occurrence includes:

receiving, via the network interface device, event data from a remote source;

processing the event data in view of watch data stored in a watch rule database to identify watch data within the event data;

applying a rule associated with watch data identified within the event data to associate the event data to product data stored in the product database.

17. The system of claim 16, wherein:

receiving event data from a remote source includes executing a trawling process that retrieves web pages from one or more web sites; and

processing the event data in view of watch data stored in the watch rule database includes identifying text in retrieved web pages included in one or more watch data rules stored in the watch rule database.

18. The system of claim 16, wherein:

receiving event data from a remote source includes receiving data from a blog.

19. The system of claim 16, wherein:

receiving event data from a remote source includes receiving data from a website including textual postings by users.

20. The system of claim 15, wherein recommending at least one of the one or more products associated with the event occurrence to a prospective purchaser includes:

identifying and ranking products or product categories the prospective purchaser is likely to be interested in utilizing collaborative filtering;

modifying the ranking of products or product categories the prospective purchaser is likely to be interested in as a function of at least one event occurrence associated with at least one identified product or product category.