System and method for community aided research and shopping

• US 8,538,821 B2
• Filed: 06/04/2008
• Issued: 09/17/2013
• Est. Priority Date: 06/04/2008
• Status: Active Grant

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: eBay Inc.
• Inventors: Nguyen, Hill Trung, Ruvini, Jean-David, Sarwar, Badrul M., Sundaresan, Neelakantan
• Primary Examiner(s): Zeender, F.
• Assistant Examiner(s): BUCHANAN, CHRISTOPHER R
• Application Number:
  US12/133,100
• Publication Number:
  US 20090307100A1
• Time in Patent Office: 1,931 Days
• Field of Search: None
• US Class Current: 705/26
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 30/0603 Catalogue ordering
• CPC Class Codes: G06Q 30/0623 Item investigation
• CPC Class Codes: G06Q 30/0627 using item specifications
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

A system and method for providing product research help to a consumer doing internet shopping. A consumer helper application for internet commerce has been designed to integrate the techniques that are currently used by many internet consumers into a single application program. For example, the consumer helper application allows a user to take notes, store web site links, store web site annotations, obtain collaborative input, and perform other tasks commonly used by web site consumers. The consumer helper application stores all of the information gathered in a single place. Information provided by other consumers may be shared using the consumer helper application. The consumer helper application will suggest specific items for a consumer to purchase based up on the information gathered by the consumer into the consumer helper application.

Claims

1. A method comprising:

receiving a request to initiate a research project pertaining to a type of a product;

generating a template web page interface for the type of the product,. the template web page including a features area comprising a selectable feature and a set of selectable values corresponding to the selectable feature;

identifying, using a computer processor, an additional selectable feature and a set of selectable values corresponding to the additional selectable feature to add to the template web page for the type of the product, the identifying based on a pattern of input from a plurality of consumers to which the template web page interface is presented;

updating the template web page interface corresponding to the type of the product such that the template web page interface includes the additional selectable feature and the set of values corresponding to the additional selectable feature;

receiving a request to initiate an additional research project pertaining to the type of the product; and

providing the updated template web page interface in response to the request to initiate the additional research project.

2. The method of claim 1, further comprising:

determining a web site identified by the plurality of consumers as being useful in researching the type of the product; and

updating the template web page interface to include a link to the web site.

3. The method of claim 2, further comprising receiving from the plurality of consumers a plurality of annotations corresponding to content presented on the web site and wherein the determining of the web site is based on the receiving of the plurality of annotations.

4. The method of claim 3, further comprising communicating a level of importance to the plurality of consumers of each of the plurality of annotations, the level of importance determined based on a number of each of the plurality of annotations received from the plurality of consumers.

5. The method of claim 3, wherein each of the plurality of annotations highlights one of good information about the type of the product and bad information about the type of the product.

6. The method of claim 3, further comprising selecting a product to recommend based on a relevancy score of the product, the relevancy score based on a comparison of good information about the product included in the plurality of annotations and bad information about the product included in the plurality of annotations.

7. The method of claim 3, further comprising locating a set of products to recommend based on the annotations.

8. A system comprising:

a computer processor configured to implement a consumer helper server application, the consumer helper server application configured to;

receive a request to initiate a research project pertaining to a type of a product;

generate a temple interface for the type of the product, the template web page including a features area comprising a selectable feature and a set of selectable values corresponding to the selectable feature;

identify an additional selectable feature and a set of selectable values corresponding to the additional selectable feature to add to the template web page for the type of the product, the identifying based on a pattern of input from a plurality of consumers to which the template web page interface is presented;

update the template web page interface such that the template web page interface includes the additional selectable feature and the set of selectable values corresponding to the additional selectable feature;

receive a request to initiate an additional research project pertaining to the type of the product; and

present the updated template web page interface in response to the request to initiate the additional research project.

9. The system of claim 8, wherein the consumer helper server application is further configured to:

determine a web site identified by plurality of consumers as being useful in researching the type of the product; and

update the template web page interface to include a link to the web site.

10. The system of claim 9, wherein the consumer helper server application is further configured to receive from the plurality of consumers a plurality of annotations corresponding to content presented on the web site and wherein the determining of the web site is based on the receiving of the plurality of annotations.

11. The system of claim 10, wherein the consumer helper server application is further configured to communicate a level of importance to the plurality of consumers of each of the plurality of annotations, the level of importance determined based on a number, of each of the plurality of annotations received from the plurality of consumers.

12. The system of claim 10, wherein each of the plurality of annotations highlights one of good information about the type of the product and bad information about the type of the product.

13. The system of claim 10, wherein the consumer helper server application is further configured to select a product to recommend based on a relevancy score of the product, the relevancy score based on a comparison of good information about the product included in the plurality of annotations and bad information about the product included in the plurality of annotations.

14. The system of claim 10, wherein the consumer helper server application is further configured to locate a set of products to recommend based on the annotations.

15. A non-transitory machines-readable storage medium embodying a set of instructions that, when executed by processor, causes the processor to perform operations, the operations comprising:

receiving a request to initiate a research project pertaining to a type of a product;

generating a template web page interface for the type of the product, the template web page including a features area comprising a selectable feature and a set of selectable values corresponding to the selectable feature;

identifying, using a computer processor, an additional selectable feature and a set of selectable values corresponding to the additional selectable feature to add to the template web page for the type of the product, the identifying based on a pattern of input from a plurality of consumers to which the template web page interface is presented;

updating the template web page interface corresponding to the type of the product such that the template web page interface includes the additional selectable feature and the set of values corresponding to the additional selectable feature;

receiving a request to initiate an additional research project pertaining to the type of the product; and

providing the updated template web page interface in response to the request to initiate the additional research project.

16. The non-transitory machine-readable medium of claim 15, the operations further comprising:

determining a web site identified by the plurality of consumers as being useful in researching the type of the product; and

updating the template web page interface to include a link to the web site.

17. The non-transitory machine-readable medium of claim 16, the operations further comprising receiving from the plurality of consumers a plurality of annotations corresponding to content presented on the web site and wherein the determining of the web site is based on the receiving of the plurality of annotations.

18. The non-transitory machine-readable medium of claim 17, the operations further comprising communicating a level of importance to the plurality of consumers of each of the plurality of annotations, the level of importance determined based on a number of each of the plurality, of annotations received from the plurality of consumers.

19. The non-transitory machine-readable medium of claim 17, wherein each of the plurality of annotations highlights one of good information about the type of the product and bad information about the type of the product.

20. The non-transitory machine-readable medium of claim 17, the operations further comprising selecting a product to recommend based on a relevancy score of the product, the relevancy score based on a comparison of good information about the product included in the plurality of annotations and bad information about the product included in the plurality of annotations.

21. The non-transitory machine-readable medium of claim 17, the operations further comprising locating a set of products to recommend based on the annotations.