Patent ID: 8386519

Claim:
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.