Providing personalized content based on historical interaction with a mobile device

A method for receiving personalized content based on historical interaction with a mobile device, the method comprising:

• determining, by the mobile device, information about a user interaction with an application running on the mobile device;
• identifying a type of the application by parsing a description of the application;
• determining a first location of the mobile device;
• generating an affinity model that associates the type of the application with the first location;
• determining that a second location of the mobile device corresponds to the first location;
• determining, using the affinity model, that the second location is associated with the type of the application based on the correspondence of the second location to the first location;
• and
• providing, to the mobile device, content related to the type of the application,
• wherein the determining, using the affinity model, that the second location is associated with the type of the application comprises:
• determining a confidence value that the second location is associated with the type of the application;
• comparing the confidence value against a threshold value;
• and
• determining that the confidence value exceeds the threshold value.

A mobile device for providing personalized content based on historical interaction comprising:

• one or more processors;
• and
• a memory coupled with and readable by the one or more processors, the memory configured to store a set of instructions which, when executed by the one or more processors, causes the one or more processors to:
• receive information about a user interaction with an application running on the mobile device;
• identify a type of the application by parsing a description of the application;
• determine a first location of the mobile device;
• generate an affinity model that associates the type of the application with the first location;
• determine that a second location of the mobile device corresponds to the first location;
• determine, using the affinity model, that the second location is associated with the type of the application based on the correspondence of the second location to the first location;
• and
• providing content related to the type of the application,
• wherein the determining, using the affinity model, that the second location is associated with the type of the application comprises:
• determining a confidence value that the second location is associated with the type of the application;
• comparing the confidence value against a threshold value;
• and
• determining that the confidence value exceeds the threshold value.

A computer product comprising a non-transitory computer readable medium storing a plurality of instructions that when executed controls a computing device included on a mobile device to provide personalized content based on historical interaction, the instructions comprising:

• determining, by a mobile device, information about a user interaction with an application running on the mobile device;
• identifying a type of the application by parsing a description of the application;
• determining a first location of the mobile device;
• generating an affinity model that associates the type of the application with the first location;
• determining that a second location of the mobile device corresponds to the first location;
• determining, using the affinity model, that the second location is associated with the type of the application based on the correspondence of the second location to the first location;
• and
• providing, to the mobile device, content related to the type of the application,
• wherein the determining, using the affinity model, that the second location is associated with the type of the application comprises:
• determining a confidence value that the second location is associated with the type of the application;
• comparing the confidence value against a threshold value;
• and
• determining that the confidence value exceeds the threshold value.