A method, system, and computer program product are described for adaptively learning user preferences for smart services. According to an exemplary embodiment, a method for adaptively learning user preferences for smart services includes modeling an availability of a subscriber for responding to an event associated with a service in terms of probability values associated with attributes of the event and subscriber context information available to determine a current situation of the subscriber related to the service, the subscriber context information based on private information of the subscriber. The availability of the subscriber for responding to the event is determined using a probability value associated with an event attribute and a probability value associated with at least a portion of the subscriber context information. At least one of the probability values associated with the event attribute and the portion of the subscriber context information is updated based on feedback received from the subscriber in response to being presented a response to the event.