A method for determining potential partner devices for a hearing device worn by a user, wherein the hearing device is adapted for establishing a data communication connection with other devices with a data communication interface and for receiving an audio data stream from the other devices via the data communication interface ; the method comprising: generating context data from sensor data recorded by the hearing device ; inputting the context data into a machine learning algorithm , which has been trained with historical context data to classify potential partner devices ; detecting potential partner devices in an environment of the hearing device via the data communication interface , wherein connection data is provided by the data communication interface , wherein a preprocessor receives the connection data and determines metadata therefrom; wherein the metadata is additionally input into the machine learning algorithm , which has been trained additionally with historical metadata to classify the potential partner devices ; outputting at least one classification by the machine learning algorithm , the classification classifying the potential partner devices , whether the user expects a data communication connection with them. wherein the hearing device is adapted for establishing a data communication connection with other devices with a data communication interface and for receiving an audio data stream from the other devices via the data communication interface ; the method comprising: generating context data from sensor data recorded by the hearing device ; inputting the context data into a machine learning algorithm , which has been trained with historical context data to classify potential partner devices ; detecting potential partner devices in an environment of the hearing device via the data communication interface , wherein connection data is provided by the data communication interface , wherein a preprocessor receives the connection data and determines metadata therefrom; wherein the metadata is additionally input into the machine learning algorithm , which has been trained additionally with historical metadata to classify the potential partner devices ; outputting at least one classification by the machine learning algorithm , the classification classifying the potential partner devices , whether the user expects a data communication connection with them. generating context data from sensor data recorded by the hearing device ; inputting the context data into a machine learning algorithm , which has been trained with historical context data to classify potential partner devices ; detecting potential partner devices in an environment of the hearing device via the data communication interface , wherein connection data is provided by the data communication interface , wherein a preprocessor receives the connection data and determines metadata therefrom; wherein the metadata is additionally input into the machine learning algorithm , which has been trained additionally with historical metadata to classify the potential partner devices ; outputting at least one classification by the machine learning algorithm , the classification classifying the potential partner devices , whether the user expects a data communication connection with them. <EOS>