Pangenetic web item recommendation system

• US 8,655,915 B2
• Filed: 01/16/2013
• Issued: 02/18/2014
• Est. Priority Date: 12/30/2008
• Status: Active Grant

• Current Assignee: 23andme Incorporated (23andMe Holding Co.)
• Original Assignee: Expanse Bioinformatics, Inc.
• Inventors: Kenedy, Andrew Alexander, Eldering, Charles Anthony
• Primary Examiner(s): Lewis, Cheryl
• Application Number:
  US13/742,895
• Publication Number:
  US 20130132392A1
• Time in Patent Office: 398 Days
• Field of Search: 707/609, 707/705, 707/767, 707/784, 705/7.29
• US Class Current: 707/784
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records

Abstract

Computer based systems, methods, software and databases are presented in which correlations between web item preferences and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based web item recommendation in which a user can request and receive personalized online recommendations of web items that are based on the user'"'"'s pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Claims

1. In a multi-user computer system that provides user access to a database of items, a method of recommending items to a specific user, the method comprising the computer implemented steps of:

a) generating a data structure that associates item preferences of a group of users with at least one genetic attribute of the group of users;

b) receiving a request for an item recommendation for the specific user;

c) accessing genetic information of the specific user; and

d) providing the item recommendation for the specific user based on the correlation of the at least one genetic attribute of the group of users with the genetic information of the specific user.

2. The method of claim 1 wherein the item recommendation is a set of goods recommended for purchase.

3. The method of claim 1 wherein the item preferences of the group of users is based on user'"'"'s satisfaction.

4. The method of claim 3 wherein the user'"'"'s satisfaction is determined based on purchase data.

5. The method of claim 3 wherein the user'"'"'s satisfaction is determined based on user feedback.

6. A computer system for genetic based recommendations comprising:

a) a database that associates item preferences of a group of users with at least one genetic attribute of the group of users;

b) a processor;

c) a memory containing code which when executed by the processor, executes the steps of;

i) receiving a request for an item recommendation for the specific user;

ii) accessing genetic information of the specific user; and

iii) providing the item recommendation for the specific user based on the correlation of the at least one genetic attribute of the group of users with the genetic information of the specific user.

7. The computer system of claim 6 wherein the item recommendation is a set of goods recommended for purchase.

8. The computer system of claim 6 wherein the item preferences of the group of users is based on user'"'"'s satisfaction.

9. The computer system of claim 8 wherein the user'"'"'s satisfaction is determined based on purchase data.

10. The computer system of claim 8 wherein the user'"'"'s satisfaction is determined based on user feedback.