Pangenetic web item recommendation system
First Claim
Patent Images
1. A computer based method for online recommendation of items for a user, comprising:
- a) receiving at least one item preference associated with the user along with one or more non-pangenetic attributes associated with the user;
b) accessing pangenetic data associated with the user wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user, wherein said accessing step is in accord with a previously set user identification and authorization protocol whereby said pangenetic profile is associated with said user and is masked according to a predetermined data mask;
c) accessing a dataset containing item preferences of individuals who also share the at least one item preference associated with the user, wherein pangenetic and non-pangenetic data of the individuals are correlated with the item preferences and wherein the pangenetic data correlated with the item preferences are combinations of pangenetic data selected from pangenetic profiles of the individuals, and further wherein the one or more non-pangenetic attributes associated with the user match one or more non-pangenetic attributes associated with the individuals, 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;
d) determining for each item preference, the quantity of matches between the pangenetic data associated with that item preference and the pangenetic data associated with the user; and
e) transmitting as output, based on the quantity of matches determined for each item preference, a listing of at least a portion of the item preferences to indicate recommended items for the user wherein the portion of the item preferences transmitted as output is determined by a predetermined threshold applied to the quantity of matches determined for each item preference.
6 Assignments
0 Petitions
Accused Products
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.
240 Citations
25 Claims
-
1. A computer based method for online recommendation of items for a user, comprising:
-
a) receiving at least one item preference associated with the user along with one or more non-pangenetic attributes associated with the user; b) accessing pangenetic data associated with the user wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user, wherein said accessing step is in accord with a previously set user identification and authorization protocol whereby said pangenetic profile is associated with said user and is masked according to a predetermined data mask; c) accessing a dataset containing item preferences of individuals who also share the at least one item preference associated with the user, wherein pangenetic and non-pangenetic data of the individuals are correlated with the item preferences and wherein the pangenetic data correlated with the item preferences are combinations of pangenetic data selected from pangenetic profiles of the individuals, and further wherein the one or more non-pangenetic attributes associated with the user match one or more non-pangenetic attributes associated with the individuals, 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; d) determining for each item preference, the quantity of matches between the pangenetic data associated with that item preference and the pangenetic data associated with the user; and e) transmitting as output, based on the quantity of matches determined for each item preference, a listing of at least a portion of the item preferences to indicate recommended items for the user wherein the portion of the item preferences transmitted as output is determined by a predetermined threshold applied to the quantity of matches determined for each item preference. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
-
-
22. 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 online recommendation of items for a user, comprising:
-
a) receiving at least one item preference associated with the user along with one or more non-pangenetic attributes associated with the user; b) accessing pangenetic data associated with the user wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user, wherein said accessing step is in accord with a previously set user identification and authorization protocol whereby said pangenetic profile is associated with said user and is masked according to a predetermined data mask; c) accessing a dataset containing item preferences of individuals who also share the at least one item preference associated with the user, wherein pangenetic and non-pangenetic data of the individuals are correlated with the item preferences and wherein the pangenetic data correlated with the item preferences are combinations of pangenetic data selected from pangenetic profiles of the individuals, and further wherein the one or more non-pangenetic attributes associated with the user match one or more non-pangenetic attributes associated with the individuals, 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; d) 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 e) transmitting as output, based on the quantity of matches determined for each item preference, a listing of at least a portion of the item preferences to indicate recommended items for the user wherein the portion of the item preferences transmitted as output is determined by a predetermined threshold applied to the quantity of matches determined for each item preference. - View Dependent Claims (23)
-
-
24. A computer database system for online recommendation of items for a user, comprising:
-
a) a memory containing; i) a first data structure containing pangenetic data associated with the user wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user; ii) a second data structure containing item preferences of individuals who also share at least one item preference associated with the user, wherein pangenetic data and non-pangenetic of the individuals are correlated with the item preferences; b) a processor for; i) receiving the at least one item preference associated with the user along with one or more non-pangenetic attributes associated with said user; ii) accessing the first data structure, wherein said accessing step is in accord with a previously set user identification and authorization protocol whereby said pangenetic profile is associated with said user and is masked according to a predetermined data mask; iii) accessing the second data structure; iv) 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 wherein the pangenetic data correlated with the item preferences are combinations of pangenetic data selected from pangenetic profiles of the individuals, and further wherein the one or more non-pangenetic attributes associated with the user match one or more non-pangenetic attributes associated with the individuals, 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; and v) transmitting as output, based on the quantity of matches determined for each item preference, a listing of at least a portion of the item preferences to indicate recommended items for the user wherein the portion of the item preferences transmitted as output in step is determined by a predetermined threshold applied to the quantity of matches determined for each item preference. - View Dependent Claims (25)
-
Specification