Method for automatically generating and communicating a user's status and/or its predicted duration
A technology of duration and user, applied in the direction of recording/indicating the time of events, office automation, time register, etc., can solve the problems of unanswered electronic communication, users forgetting to update, trouble to manually set status messages, etc.
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example 152
[0078] The generated training examples are stored as training examples 152 , which are utilized by training engine 135 to train at least one of machine learning models 156 . In some implementations, the training engine 135 trains the machine learning model based on the training examples 152 that are backpropagated from the training example inputs of the application training examples and the training example outputs based on the training examples.
[0079] In some implementations, the same trained machine learning model 156 can be used for client device 106A and other client devices of other users. In some implementations, the machine learning model 156 that may be used for the client device 106A may optionally be further trained based on the user data 158 of the user of the client device 106A and / or based on the user's feedback provided by the feedback engine 132 . Further training the machine learning model 156 based on the user data 158 and / or based on the user's feedback m...
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