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 (36, 14) with a data communication interface and for receiving an audio data stream from the other devices (36, 14) 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 (36, 36'); detecting potential partner devices (36, 36') 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 (36, 36'); outputting at least one classification by the machine learning algorithm, the classification classifying the potential partner devices (36, 36'), 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 (36, 14) with a data communication interface and for receiving an audio data stream from the other devices (36, 14) 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 (36, 36'); detecting potential partner devices (36, 36') 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 (36, 36'); outputting at least one classification by the machine learning algorithm, the classification classifying the potential partner devices (36, 36'), 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 (36, 36'); detecting potential partner devices (36, 36') 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 (36, 36'); outputting at least one classification by the machine learning algorithm, the classification classifying the potential partner devices (36, 36'), whether the user expects a data communication connection with them.