Mobile Device for Pangenetic Web

• US 20100169262A1
• 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:
  US12/346,761
• Publication Number:
  US 20100169262A1
• Time in Patent Office: Days
• US Class Current: 706/50
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04W 12/082 using revocation of authorisation
• CPC Class Codes: H04W 12/084 using delegated authorisation, e.g. open authorisation [OAuth] protocol

Abstract

A method, system and device for secure mobile web transactions are presented in which a user can, from a mobile device, authorize the comparison of pangenetic (genetic and epigenetic) data and request pangenetic based web searches, online recommendation of web items, and web item satisfaction prediction in which the user receives personalized results based on their pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.

Claims

1. A mobile computing device for providing internet search results to a user, comprising:

a) a transmitter for sending, to a second computing device via a network, one or more transmissions of non-pangenetic data associated with a user query and an authorization granting access to pangenetic data associated with the user, whereupon receipt of the one or more transmissions via the network causes the second computing device to execute steps of;

i) accessing the pangenetic data associated with the user;

ii) accessing a dataset containing pangenetic data and non-pangenetic data correlated with web items;

iii) determining for each web item, the quantity of non-pangenetic matches between the non-pangenetic data correlated with that web item and the non-pangenetic data associated with the user query and the quantity of pangenetic matches between the pangenetic data correlated with that web item and the pangenetic data associated with the user; and

b) a receiver for receiving from the network, based on the quantity of non-pangenetic matches and the quantity of pangenetic matches determined for each web item, output comprising a listing of at least a portion of the web items as internet search results for the user.

2. The mobile computing device of claim 1, wherein the pangenetic data correlated with the web items is pangenetic metadata.

3. The mobile computing device of claim 1, wherein the dataset containing pangenetic data and non-pangenetic data is selected from the group consisting of an internet search engine document index, an internet search engine hitlist, and an internet search engine lexicon dataset.

4. The mobile computing device of claim 1, wherein the dataset containing pangenetic data and non-pangenetic data in part (ii) is a lexicon dataset with pointers to entries in an internet search engine document index containing a hitlist, and wherein determining the quantity of matches in part (iii) comprises identifying, from the hitlist, the quantity of non-pangenetic hits and the quantity of pangenetic hits for each web item with respect to the non-pangenetic data associated with the user query and the pangenetic data associated with the user, wherein hits are matches.

5. The mobile computing device of claim 1, wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user.

6. The mobile computing device of claim 1, wherein the receiver is also for receiving, from the second computing device via the network, an authorization request for access to the pangenetic data associated with the user, and wherein the transmitter is also for sending, to the second computing device via the network, an authorization granting access to the pangenetic data associated with the user.

7. The mobile computing device of claim 1, wherein the portion of the web items in the listing is determined by one or more predetermined thresholds applied to the quantity of non-pangenetic matches and the quantity of pangenetic matches determined for each web item.

8. The mobile computing device of claim 1, wherein the listing is a rank listing, wherein the rank of each web item in the rank listing is based on the quantity of non-pangenetic matches and the quantity of pangenetic matches determined for each web item, and wherein the portion of web items in the rank listing consists of web items having a rank within a range defined by at least one predetermined threshold applied to rank.

9. The mobile computing device of claim 8, wherein the rank of each web item in the rank listing is determined by a score computed for each web item based on the quantity of non-pangenetic matches and the quantity of pangenetic matches for the web item.

10. The mobile computing device of claim 9, wherein a score for a web item is computed by using a quantitative similarity measure to determine a non-pangenetic similarity value based on the quantity of non-pangenetic matches and a pangenetic similarity value based on the quantity of pangenetic matches, and then averaging the non-pangenetic similarity value with the pangenetic similarity value to generate the score for the web item.

11. The mobile computing device of claim 1, wherein the pangenetic data correlated with the web items are derived from statistical associations between item preferences and pangenetic data associated with a group of individuals.

12. The mobile computing device of claim 1, wherein the pangenetic data correlated with the web items are derived by computing statistical correlations which indicate the strength of association between the item preferences and pangenetic data associated with a group of individuals.

13. The mobile computing device of claim 1, wherein the pangenetic data correlated with the web items are derived from statistical associations between pangenetic data associated with individuals and online behaviors the individuals exhibit while interacting with the web items.

14. The mobile computing device of claim 1, wherein the pangenetic data correlated with the web items are derived from an item feedback matrix containing correlations between item preferences and pangenetic data associated with a group of individuals.

15. A mobile computing device for online recommendation of items for a user, comprising:

a) a transmitter for sending, to a second computing device via a network, one or more transmissions of at least one item preference associated with the user and an authorization granting access to pangenetic data associated with the user, whereupon receipt of the one or more transmissions via the network causes the second computing device to execute steps of;

i) accessing the pangenetic data associated with the user;

ii) accessing a dataset containing item preferences of individuals who also share the at least one item preference associated with the user, wherein pangenetic data of the individuals are correlated with the item preferences;

iii) determining for each item preference, the quantity of matches between the pangenetic data correlated with that item preference and the pangenetic data associated with the user; and

b) a receiver for receiving from the network, based on the quantity of matches determined for each item preference, output comprising a listing of at least a portion of the item preferences to indicate recommended items for the user.

16. The mobile computing device of claim 15, wherein the item preferences are ratings that indicate levels of satisfaction with the items indicated by the item preferences.

17. The mobile computing device of claim 15, wherein one or more non-pangenetic attributes associated with the user are also received in step (a), and wherein the individuals in step (c) also share the one or more non-pangenetic attributes associated with the user.

18. The mobile computing device of claim 15, wherein the receiver is also for receiving, from the second computing device via the network, an authorization request for access to the pangenetic data associated with the user, and wherein the transmitter is also for sending, to the second computing device via the network, an authorization granting access to the pangenetic data associated with the user.

19. The mobile computing device of claim 15, wherein the portion of the item preferences in the listing is determined by a predetermined threshold applied to the quantity of matches determined for each item preference.

20. The mobile computing device of claim 15, wherein the listing is a rank listing, wherein the rank of each item preference in the rank listing is based on the quantity of matches determined for each item preference, and wherein the portion of the item preferences in the rank listing consists of item preferences having a rank within a range defined by at least one predetermined threshold applied to rank.

21. The mobile computing device of claim 20, wherein the rank of each item preference represented in the rank listing is determined by a score computed for each item preference based on the quantity of matches determined for each item preference.

22. The mobile computing device of claim 21, wherein the score for each item preference is computed using a quantitative similarity measure applied to the pangenetic data.

23. The mobile computing device of claim 15, wherein the correlations between the pangenetic data and the item preferences contained in the dataset are previously determined based on statistical associations between item preferences and pangenetic data associated with the individuals.

24. The mobile computing device of claim 15, wherein the correlations between the pangenetic data and the item preferences contained in the dataset are determined by computing statistical associations which indicate the strength of association between item preferences and pangenetic data associated with the individuals.

25. The mobile computing device of claim 15, wherein the correlations between the pangenetic data and the item preferences contained in the dataset are determined by computing statistical associations between pangenetic data of individuals and online behaviors which indicate the item preferences of the individuals.

26. The mobile computing device of claim 15, wherein the dataset is an item feedback matrix.

27. The mobile computing device of claim 15, wherein the pangenetic data associated with the item preferences are pangenetic metadata.

28. A mobile computing device for online prediction of user satisfaction with an item, comprising:

a) a transmitter for sending, to a second computing device via a network, one or more transmissions of at least one item preference associated with a user and an authorization granting access to pangenetic data associated with the user, whereupon receipt of the one or more transmissions via the network causes the second computing device to execute steps of;

i) accessing pangenetic data associated with the user;

ii) accessing a dataset containing one or more levels of satisfaction correlated with the at least one item preference, wherein pangenetic data are associated with the one or more levels of satisfaction;

iii) determining for each level of satisfaction, the quantity of matches between the pangenetic data associated with that level of satisfaction and the pangenetic data associated with the user; and

b) a receiver for receiving from the network, based on the quantity of matches determined for each level of satisfaction, output indicating a level of satisfaction the user is predicted to experience with respect to the at least one item preference.

29. The mobile computing device of claim 28, wherein the level of satisfaction for which the largest quantity of matches is determined in part (iii) is the level of satisfaction the user is predicted to experience.

30. The mobile computing device of claim 28, whereupon receipt of the one or more transmissions via the network causes the second computing device to also execute steps of:

iv) computing a score for each level of satisfaction using a quantitative similarity measure that processes the quantity of matches; and

v) transmitting the level of satisfaction having the highest score as output indicating the level of satisfaction the user is predicted to experience.

31. The mobile computing device of claim 28, wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user.

32. The mobile computing device of claim 28, wherein the pangenetic data correlated with the one or more levels of satisfaction are combinations of pangenetic data selected from pangenetic profiles associated with a group of individuals.

33. The mobile computing device of claim 28, wherein the pangenetic data correlated with the one or more levels of satisfaction are pangenetic metadata.

34. The mobile computing device of claim 28, wherein the levels of satisfaction are the average levels of satisfaction of a group of individuals.

35. The mobile computing device of claim 28, wherein the receiver is also for receiving, from the second computing device via the network, an authorization request for access to the pangenetic data associated with the user, and wherein the transmitter is also for sending, to the second computing device via the network, an authorization granting access to the pangenetic data associated with the user.

36. The mobile computing device of claim 28, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset are previously determined based on statistical associations between levels of satisfaction and pangenetic data associated with a group of individuals.

37. The mobile computing device of claim 28, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset are determined by computing statistical associations which indicate the strength of association between levels of satisfaction and pangenetic data associated with a group of individuals.

38. The mobile computing device of claim 28, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset are determined by computing statistical associations between pangenetic data of individuals and online behaviors which indicate levels of satisfaction of the individuals.

39. The mobile computing device of claim 28, wherein the correlations between the pangenetic data and the one or more levels of satisfaction comprise statistical associations indicating level of certainty, and wherein a level of certainty that the user will experience the predicted level of satisfaction is also transmitted as output.

40. The mobile computing device of claim 28, wherein the dataset is an item feedback matrix.