Pangenetic Web Satisfaction Prediction System
AssigneeExpanse Networks, Inc.
InventorsAndrew Alexander Kenedy, Charles Anthony Eldering
Life of this patent
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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 satisfaction prediction in which a user can request and receive online predictions of their satisfaction with 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.
Claims22
A computer based method for online prediction of user satisfaction with an item, comprising:
- a) receiving at least one item preference associated with a user;
- b) accessing pangenetic data associated with the user;
- c) accessing a dataset containing one or more levels of satisfaction associated with the at least one item preference, wherein pangenetic data are correlated with the one or more levels of satisfaction;
- d) determining for each level of satisfaction, the quantity of matches between the pangenetic data correlated with that level of satisfaction and the pangenetic data associated with the user;
- and
- e) transmitting as output, based on the quantity of matches determined for each level of satisfaction, a level of satisfaction the user is predicted to experience with respect to the at least one item preference.
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 prediction of user satisfaction with an item, comprising:
- a) receiving at least one item preference associated with a user;
- b) accessing pangenetic data associated with the user;
- c) accessing a dataset containing one or more levels of satisfaction associated with the at least one item preference, wherein pangenetic data are correlated with the one or more levels of satisfaction;
- d) determining for each level of satisfaction, the quantity of matches between the pangenetic data correlated with that level of satisfaction and the pangenetic data associated with the user;
- and
- e) transmitting as output, based on the quantity of matches determined for each level of satisfaction, a level of satisfaction the user is predicted to experience with respect to the at least one item preference.
A computer database system for online prediction of user satisfaction with an item, comprising:
- a) a memory containing:
- i) a first data structure containing pangenetic data associated with the user;
- ii) a second data structure containing one or more levels of satisfaction associated with at least one item preference associated with the user, wherein pangenetic data are correlated with the one or more levels of satisfaction;
- 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 level of satisfaction, the quantity of matches between the pangenetic data correlated with that level of satisfaction and the pangenetic data associated with the user;
- and
- v) transmitting as output, based on the quantity of matches determined for each level of satisfaction, a level of satisfaction the user is predicted to experience with respect to the at least one item preference.
Dependencies are inferred from the claim text.