Pangenetic Web User Behavior Prediction System
First Claim
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1. A computer based method for predicting user behavior, comprising:
- a) receiving at least one item preference of a user;
b) accessing pangenetic data 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;
d) determining for each non-pangenetic attribute, the quantity of matches between the pangenetic data correlated with that non-pangenetic attribute and the pangenetic data associated with the user; and
e) transmitting as output, based on the quantity of matches determined for each non-pangenetic attribute, at least one non-pangenetic attribute to indicate at least one behavior predicted for the user.
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Abstract
Computer based systems, methods, software and databases are presented in which correlations between web item preferences, behaviors and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based user behavior prediction in which predictions of a user'"'"'s online behavior can be generated based on the user'"'"'s pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.
211 Citations
22 Claims
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1. A computer based method for predicting user behavior, comprising:
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a) receiving at least one item preference of a user; b) accessing pangenetic data 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; d) determining for each non-pangenetic attribute, the quantity of matches between the pangenetic data correlated with that non-pangenetic attribute and the pangenetic data associated with the user; and e) transmitting as output, based on the quantity of matches determined for each non-pangenetic attribute, at least one non-pangenetic attribute to indicate at least one behavior predicted for the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. 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 predicting user behavior, comprising:
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a) receiving at least one item preference of a user; b) accessing pangenetic data 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; d) determining for each non-pangenetic attribute, the quantity of matches between the pangenetic data correlated with that non-pangenetic attribute and the pangenetic data associated with the user; and e) transmitting as output, based on the quantity of matches determined for each non-pangenetic attribute, at least one non-pangenetic attribute to indicate at least one behavior predicted for the user. - View Dependent Claims (20)
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21. A computer database system for predicting user behavior, comprising:
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a) a memory containing; i) a first data structure containing pangenetic data associated with a user; ii) a second data structure containing one or more non-pangenetic attributes associated with 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; b) a processor for; i) receiving the at least one item preference associated with the user; ii) accessing the first data structure; iii) accessing the second data structure; iv) determining for each non-pangenetic attribute, the quantity of matches between the pangenetic data correlated with that non-pangenetic attribute and the pangenetic data associated with the user; and v) transmitting as output, based on the quantity of matches determined for each non-pangenetic attribute, at least one non-pangenetic attribute to indicate at least one behavior predicted for the user. - View Dependent Claims (22)
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Specification