Abstract: Embodiments for generating recommendations for user activity onboard a vehicle are provided. A first user and a second user onboard a vehicle are identified. A relationship between the first user and the second user is determined based on at least one information source associated with at least one of the first user and the second user. A traffic condition associated with the vehicle traveling to a destination is detected. A recommendation of an joint activity for the first user and the second user while onboard the vehicle is generated based on the determined relationship between the first user and the second user, the detected traffic condition, and the at least one information source.

Abstract: An approach is provided that trains an artificial intelligence system to understand user preferences with least some of these preferences being learned from social media data pertaining to the user. The approach identifies points of interest between a starting location and a planned destination. The identification is performed while the user is traveling by automobile to the planned destination. The planned destination is included in an itinerary. The approach calculates an affinity score between the points of interest and the user preferences and recommends a set of points of interest based on the calculated affinity scores. A selection is received from the user of one of the points of interest from the recommended set. The itinerary is updated to include traveling to the selected point of interest and the user is provided with a set of driving instructions according to the updated itinerary.

Abstract: Embodiments for generating recommendations for user activity onboard a vehicle are provided. A first user and a second user onboard a vehicle are identified. A relationship between the first user and the second user is determined based on at least one information source associated with at least one of the first user and the second user. A traffic condition associated with the vehicle traveling to a destination is detected. A recommendation of an joint activity for the first user and the second user while onboard the vehicle is generated based on the determined relationship between the first user and the second user, the detected traffic condition, and the at least one information source.