Pangenetic Web Item Feedback System

• US 20100169313A1
• Filed: 12/30/2008
• Published: 07/01/2010
• Est. Priority Date: 12/30/2008
• Status: Abandoned Application

• Current Assignee: 23andme Incorporated (23andMe Holding Co.)
• Original Assignee: Expanse Networks, Inc.
• Inventors: Eldering, Charles Anthony, Kenedy, Andrew Alexander
• Application Number:
  US12/346,611
• Publication Number:
  US 20100169313A1
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Computer based systems, methods, software and databases are presented in which correlations between web items and pangenetic (genetic and epigenetic) attributes of individuals are determined and stored to generate a pangenetic based item feedback matrix. The pangenetic item feedback matrix can be used in computer based systems for web search, online recommendation of web items, web item satisfaction prediction, and online user behavior prediction to provide personalized results based on a user'"'"'s pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Claims

1. A computer based method for generating a pangenetic based item feedback matrix, comprising:

a) accessing item feedback data from a plurality of individuals with respect to one or more web items;

b) accessing pangenetic data associated with the plurality of individuals;

c) determining, by statistical association based on the item feedback data, correlations between the web items and combinations of the pangenetic data; and

d) storing the correlations between the web items and the combinations of pangenetic data to generate a pangenetic based item feedback matrix.

2. The computer based method of claim 1, further comprising a step of transmitting one or more of the correlations from the pangenetic based item feedback matrix to at least one destination selected from the group consisting of the user, a database, a dataset, a computer readable memory, a computer readable medium, a computer processor, a computer network, a printout device, a visual display, and a wireless receiver.

3. The computer based method of claim 1, wherein the pangenetic data is pangenetic metadata.

4. The computer based method of claim 1, wherein the content of the item feedback matrix is stored within a dataset selected from the group consisting of an internet search engine document index, an internet search engine hitlist, and an internet search engine lexicon.

5. The computer based method of claim 1, wherein the pangenetic data associated with the plurality of individuals constitute a plurality of pangenetic profiles of the individuals.

6. The computer based method of claim 1, further comprising acts of i) transmitting at least one authorization request for access to the pangenetic data associated with the plurality of individuals, and ii) receiving an authorization granting access to the pangenetic data associated with the plurality of individuals.

7. The computer based method of claim 1, wherein at least a portion of the correlations stored in the pangenetic based item feedback matrix are used for a method of providing internet search results for a user.

8. The computer based method of claim 1, wherein at least a portion of the correlations stored in the pangenetic based item feedback matrix are used for a method of online recommendation of web items for a user.

9. The computer based method of claim 1, wherein at least a portion of the correlations stored in the pangenetic based item feedback matrix are used for a method of online prediction of user satisfaction with a web item.

10. The computer based method of claim 1, wherein at least a portion of the correlations stored in the pangenetic based item feedback matrix are used for a method of predicting user behavior.

11. The computer based method of claim 1, wherein the correlations determined in step (c) are used to generate a dataset selected from the group consisting of an internet search engine document index, an internet search engine hitlist, and an internet search engine lexicon.

12. The computer based method of claim 1, wherein the plurality of individuals share one or more non-pangenetic attributes in common.

13. The computer based method of claim 1, wherein each correlation stored in the item feedback matrix indicates an association between one of the web items and one of the combinations of pangenetic data.

14. The computer based method of claim 1, wherein the correlations stored in step (d) have one or more corresponding statistical association values, determined by statistical association in step (c), that meet one or more predetermined threshold values.

15. The computer based method of claim 1, wherein each correlation stored in the item feedback matrix includes at least one statistical association value, determined by statistical association in step (c), that indicates strength of the association between one of the web items and one of the combinations of pangenetic data.

16. The computer based method of claim 15, wherein the correlations stored in step (d) have one or more corresponding statistical association values, determined by statistical association in step (c), which are used to rank web items correlating with the same combination of pangenetic data.

17. The computer based method of claim 1, wherein the correlations are indicated by scores derived from the feedback data.

18. The computer based method of claim 1, wherein the correlations are indicated by ratings derived from the feedback data.

19. The computer based method of claim 1, wherein the correlations are indicated using binary indicators.

20. The computer based method of claim 1, wherein the accessing in step (b) is in accordance with at least one data mask.

21. The computer based method of claim 20, wherein the at least one data mask is a consensus data mask.

22. The computer based method of claim 1, wherein the accessing in step (b) is in accordance with at least one data mask, the method further comprising:

i) transmitting an authorization request for access to the pangenetic data associated with the plurality of individuals;

ii) receiving an authorization which grants access to the pangenetic data;

iii) accessing a data mask, wherein the data mask'"'"'s parameters are associated with the authorization; and

iv) applying the data mask to the pangenetic data.

23. The computer based method of claim 1, wherein the identities of the individuals are masked or anonymized.

24. A program storage device readable by a machine and containing a set of instructions which, when read by the machine, causes execution of a computer based method for generating a pangenetic based item feedback matrix, comprising:

a) receiving item feedback data from a plurality of individuals with respect to one or more web items;

b) accessing pangenetic data associated with the plurality of individuals;

c) determining, by statistical association based on the item feedback data, correlations between the web items and combinations of the pangenetic data; and

d) storing the correlations between the web items and the combinations of pangenetic data to generate a pangenetic based item feedback matrix.

25. The program storage device of claim 24, wherein the computer based method further comprises a step of transmitting one or more of the correlations from the pangenetic based item feedback matrix to at least one destination selected from the group consisting of the user, a database, a dataset, a computer readable memory, a computer readable medium, a computer processor, a computer network, a printout device, a visual display, and a wireless receiver.

26. A computer database system for providing internet search results for a user, comprising:

a) a memory containing;

i) a first data structure containing item feedback data from a plurality of individuals with respect to one or more web items;

ii) a second data structure containing pangenetic data associated with the plurality of individuals;

b) a processor for;

i) accessing the first data structure;

ii) accessing the second data structure;

iii) determining, by statistical association based on the item feedback data, correlations between the web items and combinations of the pangenetic data; and

iv) storing the correlations between the web items and the combinations of pangenetic data to generate a pangenetic based item feedback matrix.

27. The computer database system of claim 26, wherein the processor is also for transmitting one or more of the correlations from the pangenetic based item feedback matrix to at least one destination selected from the group consisting of the user, a database, a dataset, a computer readable memory, a computer readable medium, a computer processor, a computer network, a printout device, a visual display, and a wireless receiver.