Gracenote, Inc.

Michael Yeehua Chien

Markus Kurt Cremer

Suresh Jeyachandran

Rishabh Sharma

Paul Emmanuel Quinn

Methods, apparatus, systems and articles of manufacture are disclosed for a broadcast profiling system. An example apparatus includes a memory storing instructions, and a processor configured to execute the instructions stored in the memory to compare a preference included in a user profile with a portion of a content station profile to determine whether the preference included in the user profile satisfies a threshold difference from the portion of the content station profile, in response to the threshold difference being satisfied, generate a station recommendation for a user associated with the user profile, and transmit an instruction to a device associated with the user, the instruction including the station recommendation, the instruction configured to cause a radio pre-set to be adjusted.

Broadcast profiling system

Methods, apparatus, systems and articles of manufacture are disclosed for a broadcast profiling system. An example method includes comparing a preference included in a user profile with a portion of a content station profile to determine whether the preference satisfies a threshold difference from the portion of the content station profile, the content station profile including (1) a first characteristic of first broadcast data associated with a first time context and a first count associated with first identifying information and (2) a second characteristic of second broadcast data associated with a second time context and a second count associated with second identifying information; in response to the threshold difference being satisfied, generating a station recommendation for a user associated with the user profile; and transmitting an instruction associated with the user, the instruction including the station recommendation, the instruction configured to cause a radio pre-set to be adjusted.

Systems and methods are presented for receiving, by a server computer, broadcast data for a content station, determining that the broadcast data comprises a change in content for the content station, determining identifying information associated with the broadcast data, analyzing the identifying information associated with the broadcast data to determine characteristics of the broadcast data, storing the identifying information and the characteristics of the broadcast data, incrementing persona characteristics in a datastore for the content station with the characteristics of the broadcast data, and generating a profile of the content station based on the persona characteristics in the datastore of the content station.

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San Mateo, CA, United States of America

Michael Yeehua Chien