Method and system of using collective human intelligence to logically group related items

• US 20020087390A1
• Filed: 10/04/2001
• Published: 07/04/2002
• Est. Priority Date: 10/04/2000
• Status: Abandoned Application

• Current Assignee: Efavorites.Com
• Original Assignee: Efavorites.Com
• Inventors: Dombrowski, Kevin, Frey, Kelly L., Weathersby, Robert G.
• Application Number:
  US09/969,814
• Publication Number:
  US 20020087390A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A method and system for performing cluster analysis, particularly in relation to methods of providing purchase recommendations based on analysis of online shopping cart aggregated selections determined using prior collective user activities. One variation of the invention includes the following functions: 1) data is collected at a partner site on a network, such as the Internet; 2) a data stream from the network site is transmitted to a server, and the data is parsed and stored; 3) query logic is used on the database to produce query lists by selected variables; 4) recommendation publishing is invoked by the partner site; 5) recommended data produced using relationships among the collected data is transmitted to the partner site; and 6) the partner site publishes the recommended data.

Claims

1. A method for using collected data for selected products to provide recommendations for additional products to publish at a site on a network, comprising:

collecting the data for the selected products at the network site;

transmitting the data for the selected products from the network site to a server on the network;

parsing and storing the data for the selected products, wherein parsing and storing the data for the selected products includes identifying additional products selected with at least one of the selected products;

identifying data for at least one recommended product, wherein identifying data for at least one recommended product includes incorporation of the identified additional products; and

transmitting the data for the at least one recommended product to the network site for publishing.

2. The method of claim 1, wherein the data for the selected products includes customer selected items placed in a customer shopping cart.

3. The method of claim 1, wherein the data for the selected products is transmitted from the network site to the server via an applet.

4. The method of claim 3, wherein the applet is provided to the network site by the server.

5. The method of claim 3, wherein the applet is a JAVA object.

6. The method of claim 3, wherein the applet is a COM object.

7. The method of claim 1, wherein the data for the selected products comprises a predefined set of attributes.

8. The method of claim 7, wherein the predefined set of attributes include at least one selected from a group consisting of a network site identifier, a product identifier, a product parent identifier, a project universal resource locator (URL), a workstation identification, and a consumer session identification.

9. The method of claim 1, wherein parsing and storing the data includes:

creating a table of products.

10. The method of claim 9, wherein each of the products includes an associated session, such that the products include a plurality of associated sessions, and wherein identifying data for at least one recommended product comprises:

identifying at least one of the associated sessions for at least one of the selected products; and

identifying at least a second one of the selected products for the identified session.

11. The method of claim 1, wherein parsing and storing the data for the selected products comprises:

storing the data for the selected products in a recommendations table.

12. The method of claim 10, wherein identifying at least a second one of the selected products for the identified session produces a number of identified products, and wherein identifying data for at least one recommended product comprises:

limiting the number of identified products.

13. The method of claim 12, wherein incorporation of the determined relationships among the selected products includes:

determining statistically significant products from the identified products for the identified session.

14. The method of claim 1, wherein transmitting the data for at least one recommended product to the network site for publishing includes:

receiving an invoked universal resource locator for the network site; and

transmitting the data for at least one recommended product to the network site for publishing in response to receiving the invoked universal resource locator for the network site.

15. The method of claim 1, wherein the network is the Internet.

17. The system of claim 16, wherein the network is the Internet.

18. The system of claim 16, wherein the server comprises one selected from a group consisting of a personal computer, a minicomputer, a microcomputer, and a main frame computer.

19. The system of claim 16, wherein the data is collected for the products at the site by the server via the network.

16. A system for using collected data for selected products to provide recommendations for additional products to publish, comprising:

a network;

a site coupled to the a network, wherein the additional products to publish are published at the site coupled to the network; and

a server coupled to the network;

wherein the data is collected for the selected products at the site;

wherein the data for the selected products is transmitted from the site to the server;

wherein the data for the selected products is parsed and stored, wherein parsing and storing the data for the selected products includes identifying additional products selected with at least one of the selected products;

wherein data is identified for at least one recommended product, wherein the data for the at least one recommended product is identified by incorporating the identified additional products; and

wherein the data for the at least one recommended product is transmitted to the network site for publishing.