System, method and apparatus for predictive modeling of spatially distributed data for location based commercial services
AssigneeMotivePath, Inc.
InventorsRobert Ficcaglia, Daniel Zapata
Life of this patent
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Abstract
A computer system implements a method to provide a class membership probability prediction based on collected usage data from a user device of a user. After device usage data, which contains location information, is collected from the user device, the collected usage data is processed to generate a predictive model by utilizing a machine learning algorithm. In response to a user input, a class membership probability estimation is produced by processing the user input through the probability predictive model. The resulted class membership probability estimation can then be used as a prediction of a demographic profile of the user.
Claims31
A method, comprising:
- processing usage data collected from a user device of a user, wherein the collected usage data contains location information;
- generating a predictive model from the collected usage data by utilizing a machine learning algorithm;
- in response to a user input, producing a class membership probability estimation by processing the user input through the predictive model, wherein the class membership probability estimation predicts a demographic profile of the user.
A method, comprising:
- receiving a user input from a user device of a user;
- retrieving a plurality of pre-generated predictive models, wherein the plurality of predictive models are related to the user input;
- generating a plurality of class membership probability estimations by processing the user input through the plurality of pre-generated predictive models;
- and
- selecting an optimal class membership probability estimation from the plurality of class membership probability estimations, wherein the optimal class membership probability estimation predicts a demographic profile of the user.
A device, comprising:
- a location sensor to obtain location information of the device;
- a class membership estimation engine coupled with the location sensor, wherein the class membership estimation engine generates a class membership probability estimation based on the location information and a predictive model, the predictive model being selected from a plurality of pre-generated predictive models;
- and
- a commercial service engine coupled with the class membership estimation engine, to initiate targeted commercial services to the device based on the class membership probability estimation.
A system, comprising:
- a predictive modeling engine to generate a plurality of predictive models from collected device usage data, wherein the collected device usage data contains location information;
- and
- a class membership estimation engine coupled with the predictive modeling engine, wherein the class membership estimation engine generates a class membership probability estimation based on a user device location information and a predictive model selected from the plurality of predictive models.
Dependencies are inferred from the claim text.