Item recommendations

• US 8,290,828 B2
• Filed: 06/06/2011
• Issued: 10/16/2012
• Est. Priority Date: 06/29/2005
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Stoppelman, Michael
• Primary Examiner(s): Shah, Amee A
• Application Number:
  US13/153,950
• Publication Number:
  US 20110238523A1
• Time in Patent Office: 498 Days
• Field of Search: 705/26.7
• US Class Current: 705/26.7
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• 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

A system gathers user behavior data from a group of web retailers and/or non-web retailers, analyzes the user behavior data to identify product recommendations for products offered by the web retailers, and provides one of the identified product recommendations in connection with a product page associated with one of the web retailers.

Claims

1. A method performed by one or more devices, the method comprising:

identifying, by at least one of the one or more devices, a plurality of items provided by a first web site;

identifying, by at least one of the one or more devices and based on information associated with a second web site, one or more recommendations relating to an item, of the plurality of items, provided by the first web site,

where the second web site is different than the first web site;

identifying, by at least one of the one or more devices and based on the plurality of items provided by the first web site, a recommendation from the one or more recommendations relating to the item,

where the identified recommendation comprises one or more items offered for sale of the plurality of items provided by the first web site; and

providing, by at least one of the one or more devices, the identified recommendation.

2. The method of claim 1, further comprising:

receiving a request associated with the item provided by a first web site,

where the one or more recommendations are identified based on receiving the request.

3. The method of claim 1, where at least one of the plurality of items includes a product offered for sale by an entity associated with the first web site.

4. The method of claim 1, where the information includes at least one of:

purchase information, from the second web site, identifying the item and at least a first item of the plurality of items, or

documents, from the second web site, identifying the item and at least a second item of the plurality of items.

5. The method of claim 1, where providing the identified recommendation includes:

causing the identified recommendation to be provided, via the first web site, with information associated with the item.

6. The method of claim 1, where the identified recommendation includes information identifying the one or more items of the plurality of items.

7. The method of claim 1, where providing the identified recommendation includes:

providing the identified recommendation to a device associated with the first web site,

where providing the identified recommendation to the device causes the device to include the provided recommendation in a particular document associated with the first web site, the particular document including information relating to the item.

8. A device comprising:

a memory to store instructions; and

a processor to execute the instructions in the memory to;

identify a plurality of items provided by a first web site,

identify, based on information associated with a second web site, one or more recommendations relating to an item of the plurality of items provided by the first web site,

where the first web site is different than the second web site,

identify, based on the plurality of items provided by the first web site, a recommendation from the one or more recommendations relating to the item,

where the identified recommendation comprises one or more items offered for sale of the plurality of items provided by the first web site; and

provide the identified recommendation with information associated with the item via the first web site.

9. The device of claim 8, where, when providing the identified recommendation, the processor is to:

cause the identified recommendation to be provided on a particular page, of the first web site, with information associated with the item,

where the particular page is associated with the item.

10. The device of claim 8, where the processor is further to:

obtain the information from the second web site,

where the obtained information includes at least one;

review information associated with the one or more items

comparison information associated with the one or more items, or

information providing a description for each of the one or more items.

11. The device of claim 8, where the identified recommendation includes information associated with a particular item of the one or more items.

12. The device of claim 8, where the first web site is associated with a first entity, the second web site is associated with a second entity, and the device is associated with a third entity, and

where the first entity, the second entity, and the third entity are different from one another.

13. The device of claim 8, where the information, associated with the second web site, includes particular information indicating that information associated with the item was accessed with information associated with another item of the plurality of items, the one or more items including the other item, and

where the identified recommendation includes the information associated with the other item.

14. The device of claim 8, where the processor is further to:

identify at least one recommendation relating to each of the plurality of items, based on the information associated with the second web site,

where the at least one recommendation includes information identifying at least one of the plurality of items.

15. A non-transitory computer-readable medium comprising:

a plurality of instructions which, when executed by a processor, cause the processor to;

identify a plurality of items provided by a first web site;

identify, based on information associated with a second web site, a plurality of recommendations relating to a first item, of the plurality of items, provided by the first web site,

where the first web site is different than the second web site;

identify, based on the plurality of items, a recommendation from the plurality of recommendations relating to the first item,

where the identified recommendation comprises one or more items offered for sale of the plurality of items provided by the first web site; and

cause the identified recommendation to be provided with information associated with the first item,

where the identified recommendation includes information associated with a second item of the plurality of items, the one or more items including the second item.

16. The non-transitory computer-readable medium of claim 15, further comprising one or more instructions to:

obtain information from a plurality of web sites,

where the plurality of web sites include the second web site, and

where the obtained information includes the information associated with the second web site.

17. The non-transitory computer-readable medium of claim 15, where the first web site is associated with a first entity, the second web site is associated with a second entity, and the system is associated with a third entity, and

where the first entity, the second entity, and the third entity are different from one another.

18. The non-transitory computer-readable medium of claim 15, where one or more instructions, of the plurality of instructions, to cause the identified recommendation to be provided with the information associated with the first item include one or more instructions to:

cause the identified recommendation to be included in a document, associated with the first web site, that provides information relating to the first item.

19. The non-transitory computer-readable medium of claim 15, further comprising one or more instructions to:

identify one or more recommendations relating to each of the plurality of items, based on the information associated with the second web site,

store, in a memory, the identified one or more recommendations relating to each of the plurality of items, and

retrieve, from the memory, the identified recommendation relating to the first item.

20. The non-transitory computer-readable medium of claim 15, further comprising one or more instructions to:

obtain the information from the second web site,

where the obtained information includes information indicating that a first document, of the second web site, was accessed with a second document of the second web site,

where the first document includes information associated with the first item and the second document includes the information associated with the second item, and

where the identified recommendation includes the information associated with the second item based on the information indicating that the first document was accessed with the second document.