PRIVACY PRESERVING PERSONALIZED WORKOUT RECOMMENDATIONS

摘要

In some implementations, a computing system can be configured for presenting privacy preserving personalized workout recommendations. In some implementations, a workout application of system 100 can generate workout recommendations based on workouts previously performed by a user within the workout application and/or external to the workout application. For example, a user can participate in an internal workout presented by the workout application or an external workout performed without the aid of the workout application and detected by one or more sensors of a user device carried by the user during the external workout. The various attributes of the workouts can be stored as historical workout data and used by the workout application to recommend to the user workouts available through the workout application, or corresponding workout service. The workout recommendations can be generated on the user device to preserve the privacy of the user's personal health information.