Patent ID: 8457605

Claim:
Method for gender identification of a cell-phone subscriber comprising the steps of: constructing a general model of female and male calling behaviour; classifying an individual calling behaviour of a subscriber comparing it with the general model; characterized in that: the step of constructing the general model comprises: obtaining a set of data from subscribers whose gender is already known, the data comprises features of a call, which comprises phone number, date, duration and location of a caller; building an individual model P for the individual calling behaviour of each subscriber whose gender is already known, the individual model is built computing a set of variables p 1 , p 2 , . . . . ,pn, from the set of data of each subscriber, whose gender is already known, defining a point of n-dimensions P(p 1 , p 2 , . . . . ,pn) and, applying an algorithm to the individual model of each subscriber, which generates groups labelled as male behaviour or female behaviour; wherein the algorithm comprises the following steps: applying a K-means algorithm to divide the individual models into k groups in which each individual model belongs to the group with the nearest mean, calculated as the Euclidean distance to the mean of the individual models that are already within the group, computing a radius for each labelled group as the maximum Euclidean distance between the centroid and an individual model, being the centroid the mean of the individual models within the group and building the general model using the labelled groups; and the step of classifying comprises: identifying the gender of the cell-phone subscriber by assigning to him the label of the closest group, being the closest group the one with the shortest Euclidean distance between the individual model of said subscriber and the mean of the individual models within the group.