Providing suggestions based on user intent

A system for providing prioritized suggestions to a user of a mobile device in real-time based on an intent of the user, comprising:

• a processor configured to process data for the system;
• a user routine identification component configured to identify a plurality of user patterns that are associated with contextual data;
• a user context identification component configured to use real-time contextual data from a plurality of sensors to identify a context for the user;
• a user intent determination component configured utilize the processor to combine the user patterns with the context to identify a user intent in real-time;
• and
• a prioritization component configured to prioritize user suggestions based on the intent.

A computer based method for providing prioritized suggestions to a user of a mobile device in real-time based on an intent of the user, comprising:

• identifying a routine of the user comprising identifying a plurality of historical user patterns utilizing data from a plurality of sensors over a desired period of time, comprising identifying one or more of:
• a user travel pattern;
• a user data consumption pattern;
• a user communications pattern;
• a user activities pattern;
• and
• a user profile pattern;
• identifying a real-time context for the user utilizing real-time contextual data from a plurality of sensors, comprising receiving data indicating one or more of:
• a location of the user;
• a current time for the location of the user;
• an activity for the user;
• one or more environmental conditions for the location of the user;
• a proximity of the user to a desired location;
• and
• a condition of the user;
• determining the intent of the user comp comprising combining one or more historical user patterns with real-time contextual data to identify a user intent using a computer-based processor;
• identifying suggestions associated with the intent using the user routine and the real-time context;
• prioritizing suggestions for the user based on the intent comprising:
• determining a probability for the intent, where the probability comprises a likelihood of matching a preferred intent for the user;
• and
• prioritizing the suggestions according to the probability of an associated intent;
• and
• updating the routine using information from the real-time context to identify an updated user pattern.