System and method for implementing a learning model for predicting the geographic location of an internet protocol address

An Internet Protocol (IP) address geo-location learning model system comprising:

• a processor;
• a model receiving component, in data communication with the processor, to receive a model to predict a geographic coordinates position of an Internet Protocol (IP) address, the model including one or more parameters and one or more variables associated with geographic coordinates of the IP address and corresponding information associated with the IP address;
• a training data receiving component, in data communication with the processor, to receive training data including a plurality of pairs of geographic coordinates of a target IP address and corresponding information associated with the target IP address;
• a parameter determining component to determine the one or more parameters based on the training data and the model, the one or more parameters including a mean vector representing a pair of geographic coordinates of a baseline IP address, at least one of the one or more parameters being determined by generating at least one product of values of the training data, and to return a result including information indicative of the determined parameters.

An article of manufacture comprising a non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a machine, cause the machine to:

• receive a model to predict a geographic coordinates position of an Internet Protocol (IP) address, the model including one or more parameters and one or more variables associated with geographic coordinates of the IP address and corresponding information associated with the IP address;
• receive training data including a plurality of pairs of geographic coordinates of a target IP address and corresponding information associated with the target IP address;
• determine the one or more parameters based on the training data and the model, the one or more parameters including a mean vector representing a pair of geographic coordinates of a baseline IP address, at least one of the one or more parameters being determined by generating at least one product of values of the training data;
• and
• return a result including information indicative of the determined parameters.