Abstract: A system and method for generating action cues and recommendations for provision to an electronic device are provided. Context data associated with an electronic device and derived from one or more of sensor data, device state data, and application data is received, and a profile for the electronic device or a user thereof is defined using the context data, representing probability distribution. A selected action from a plurality of actions executable at the electronic device is identified using the profile, and a cue is returned to the electronic device for execution. The profile may be constructed as a factor graph representation using random coding techniques.

Abstract: Systems and methods are provided for matching one or more first entities with one or more of second entities. Factor graph representations of the first entities and a plurality of second entities are stored. The factor graph representation of the plurality of second entities includes an identity variable referencing each of the individual second entities. When a request is received from a requesting one of the first set of entities for a match from the second set of entities, the first factor graph and the second factor graph are merged, and the merged graph is solved for a probability mass function for the identity variable to yield a probability vector to be used to identify those ones of the plurality of second entities having the highest probabilities as matches to be returned in response to the request.