Disclosed is a method for learning communication patterns among mobile terminal users, comprising the steps of: converting call logs and proximity logs collected from a mobile terminal to a call document and a proximity document, respectively; arranging the call document and the proximity document for each person as a pair; creating a communication model by reflecting a one way-directional influence from the proximity document to the call document; and learning the users communication patterns based on the communication model. Thereby, accuracy and reliability of automatic learning of communication patterns among mobile terminal users can be improved.
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