Driver vehicle setting data 350, is obtained from a plurality of vehicles 305, a vehicle model is identified and a vehicle setting recommendation 375 is generated for the identified vehicle 330 based on the driver vehicle setting data. The data may be crowd-sourced from multiple users in an anonymous manner, such as via a social network server 315 or from a manufacturer 301. The data values can be processed using machine learning to generate and transmit vehicle setting recommendations to other users, such as via a users mobile device 325. The recommendations may be for vehicle settings that the user has not yet activated or vehicle setting values that are frequently used for a particular vehicle. The settings may include a car seat position, mirror positions, steering wheel positions, heating or ventilation settings, lighting preferences or safety settings.
Crowd-sourced vehicle setting recommendations