Abstract: There is disclosed a method and system for determining an occurrence of a visit to a venue by a user associated with an electronic device. The method comprises, at a training phase: receiving a SSID; receiving one or more venue identifiers; generating a positive pair; generating a set of negative pairs; wherein the positive pair and the set of negative pairs form a set of training data; training a machine learning algorithm by determining a set of features representative of a property of the set of training data; and generating an inferred function, the inferred function being configured to determine a confidence parameter of a given pair including a given SSID received from the electronic device paired to a given venue identifier, the confidence parameter representing a probability of an occurrence of a visit by the user to the venue associated with the given venue identifier.

Abstract: There is disclosed a method and system for determining an occurrence of a visit to a venue by a user associated with an electronic device. The method comprises, at a training phase: receiving a SSID; receiving one or more venue identifiers; generating a positive pair; generating a set of negative pairs; wherein the positive pair and the set of negative pairs form a set of training data; training a machine learning algorithm by determining a set of features representative of a property of the set of training data; and generating an inferred function, the inferred function being configured to determine a confidence parameter of a given pair including a given SSID received from the electronic device paired to a given venue identifier, the confidence parameter representing a probability of an occurrence of a visit by the user to the venue associated with the given venue identifier.