Abstract: A computer-implemented method for recommendation of contents to a user on board a vehicle includes learning a content preference criterion starting from a history of previous content selections by the user and automatically selecting a content from a database of available contents based on the learned preference criterion. Automatic selection is based on at least one of vehicle occupancy status, vehicle status and vehicle travel condition. A system for recommending contents to a user on board a vehicle includes an automatic learning engine based on a predetermined automatic learning model for learning a content preference criterion, data collection modules for acquiring data indicative of vehicle occupancy status, vehicle status and vehicle travel condition, and an inference engine for automatic selection of a content from the database of available contents on the basis of at least one of the acquired vehicle occupancy status, vehicle status and vehicle travel condition.