Patent Document ID: 8108406
Application ID: 12346738
Patent Flag: 1

Claim One:
1. A computer based method for predicting user behavior, comprising: a) receiving at least one item preference of a user; b) accessing a pangenetic data profile associated with the user; c) accessing a dataset containing one or more non-pangenetic attributes associated with the at least one item preference of the user, wherein pangenetic data are correlated with the one or more non-pangenetic attributes and each non-pangenetic attribute indicates a user behavior, wherein the correlated pangenetic data are combinations of pangenetic data selected from pangenetic profiles associated with a group of individuals, wherein associations between the pangenetic data and the one or more non-pangenetic attributes contained in the dataset are previously determined based on statistical associations between non-pangenetic attributes and pangenetic data associated with the group of individuals, and wherein the correlations between the pangenetic data and the one or more non-pangenetic attributes contained in the dataset are determined by results of computing statistical associations which indicate strength of association between the non-pangenetic attributes and the pangenetic data associated with the group of individuals; d) determining for said each non-pangenetic attribute, quantity of matches between the pangenetic data correlated with said each non-pangenetic attribute and the pangenetic data associated with the user; and e) transmitting as output, based on the quantity of matches determined for said each non-pangenetic attribute, at least one non-pangenetic attribute to indicate at least one behavior predicted for the user, wherein the quantity of matches determined for said each non-pangenetic attribute is used to compute a pangenetic similarity value for said each non-pangenetic attribute, and the non-pangenetic attributes having pangenetic similarity values meeting a predetermined threshold value, and wherein the correlations between the pangenetic data and the one or more non-pangenetic attributes contained in the dataset comprise statistical associations indicating level of certainty, and wherein the level of certainty that the user will exhibit the predicted behavior is also transmitted as output.