# US 2010/0169342 A1 · Pangenetic Web Satisfaction Prediction System > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2010/0169342 A1 - Document ID: US20100169342A1 - Status: Published application - Kind: A1 - Application number: 12/346,721 - Filed: 2008-12-30 - Published: 2010-07-01 - Earliest claimed: 2008-12-30 - Assignees: Expanse Networks, Inc. - Inventors: Andrew Alexander Kenedy; Charles Anthony Eldering - Web page: https://patentgrep.com/patent/US20100169342A1 ## CPC - G06F 16/9535: Search customisation based on user profiles and personalisation - G06F 16/9536: Search customisation based on social or collaborative filtering - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## 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. ## Claims ### Claim 1 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. ### Claim 2 (depends on 1) The computer based method of claim 1, wherein the transmitting in step (e) is to at least one destination selected from the group consisting of the user, a database, a dataset, a computer readable memory, a computer readable medium, a computer processor, a computer network, a printout device, a visual display, and a wireless receiver. ### Claim 3 (depends on 1) The computer based method of claim 1, wherein the level of satisfaction for which the largest quantity of matches is determined in step (d) is the level of satisfaction the user is predicted to experience. ### Claim 4 (depends on 1) The computer based method of claim 1, further comprising computing a score for each level of satisfaction using a quantitative similarity measure that processes the quantity of matches, and selecting the level of satisfaction having the highest score as the level of satisfaction the user is predicted to experience. ### Claim 5 (depends on 1) The computer based method of claim 1, wherein the pangenetic data correlated with the one or more levels of satisfaction are pangenetic metadata. ### Claim 6 (depends on 1) The computer based method of claim 1, wherein the pangenetic data associated with the user constitutes a pangenetic profile of the user. ### Claim 7 (depends on 1) The computer based method of claim 1, wherein the pangenetic data correlated with the one or more levels of satisfaction are combinations of pangenetic data selected from pangenetic profiles associated with a group of individuals. ### Claim 8 (depends on 1) The computer based method of claim 1, wherein the levels of satisfaction are the average levels of satisfaction of a group of individuals. ### Claim 9 (depends on 8) The computer based method of claim 8, further comprising receiving one or more non-pangenetic attributes associated with the user, wherein the one or more non-pangenetic attributes associated with the user match one or more non-pangenetic attributes associated with the group of individuals. ### Claim 10 (depends on 1) The computer based method of claim 1, further comprising the steps of i) transmitting an authorization request for access to the pangenetic data associated with the user, and ii) receiving an authorization granting access to the pangenetic data associated with the user. ### Claim 11 (depends on 1) The computer based method of claim 1, wherein the receiving in step (a) is from a mobile computing device, and wherein the transmitting in step (e) is to the mobile computing device. ### Claim 12 (depends on 1) The computer based method of claim 1, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset are previously determined based on statistical associations between levels of satisfaction and pangenetic data associated with a group of individuals. ### Claim 13 (depends on 1) The computer based method of claim 1, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset are determined by computing statistical associations which indicate the strength of association between levels of satisfaction and pangenetic data associated with a group of individuals. ### Claim 14 (depends on 1) The computer based method of claim 1, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset are determined by computing statistical associations between pangenetic data of individuals and online behaviors which indicate levels of satisfaction of the individuals. ### Claim 15 (depends on 1) The computer based method of claim 1, wherein the correlations between the pangenetic data and the one or more levels of satisfaction contained in the dataset comprise statistical associations indicating level of certainty, and wherein a level of certainty that the user will experience the predicted level of satisfaction is also transmitted as output. ### Claim 16 (depends on 1) The computer based method of claim 1, wherein the dataset is an item feedback matrix. ### Claim 17 (depends on 16) The computer based method of claim 16, further comprising: i) receiving level of satisfaction data associated with a group of individuals, wherein the level of satisfaction data indicates levels of satisfaction of the individuals with the at least one item preference; ii) accessing pangenetic data associated with the individuals; iii) determining correlations between the levels of satisfaction of the individuals and the pangenetic data associated with the individuals; and iv) storing the correlations between the levels of satisfaction and the pangenetic data to generate an item feedback matrix. ### Claim 18 (depends on 1) The computer based method of claim 1, wherein the accessing in step (b) is in accordance with an applied data mask, the method further comprising: i) transmitting an authorization request for access to the pangenetic data associated with the user; ii) receiving an authorization which grants access to the pangenetic data; iii) accessing a data mask, wherein the data mask's parameters are associated with the authorization; and iv) applying the data mask to the pangenetic data. ### Claim 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 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. ### Claim 20 (depends on 19) The program storage device of claim 19, wherein the transmitting in step (e) is to at least one destination selected from the group consisting of the user, a database, a dataset, a computer readable memory, a computer readable medium, a computer processor, a computer network, a printout device, a visual display, and a wireless receiver. ### Claim 21 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. ### Claim 22 (depends on 21) The computer database system of claim 21, wherein the transmitting in part (v) is to at least one destination selected from the group consisting of the user, a database, a dataset, a computer readable memory, a computer readable medium, a computer processor, a computer network, a printout device, a visual display, and a wireless receiver.