Contextual information inference for incoming calls

A computer-implemented method, comprising:

• receiving, at a contextual inference platform executing on one more computing devices, user profile data of a caller and time-stamped event data from one or more data sources;
• detecting, at the contextual inference platform, an incoming call initiated by a caller device of the caller that is destined for a recipient device of a call recipient;
• receiving, at the contextual inference platform, device data associated with the caller device that at least includes a geolocation of the caller device;
• applying, in response to an initiation of the incoming call, an inference framework via the contextual inference platform to infer a situational context of the caller based on an analysis of the time-stamped event data, the user profile data of the caller, and the device data, the inference framework including one or more inference rules;
• sending, via the contextual inference platform, contextual information for the situational context of the caller to the recipient device for presentation to the call recipient via the recipient device;
• receiving, at the contextual inference platform, feedback of the call recipient from the recipient device following the presentation of the contextual information of the caller;
• and
• modifying, via the contextual inference platform, the one or more inference rules of the inference framework via a machine-learning algorithm to generate a modified inference framework based on the feedback received from the recipient device.

A system, comprising:

• one or more processors;
• and
• memory including a plurality of computer-executable components that are executable by the one or more processors to perform a plurality of actions, the plurality of actions comprising:
• receiving user profile data of a caller and time-stamped event data from one or more data sources;
• detecting an incoming call initiated by a caller device of the caller that is destined for a recipient device of a call recipient;
• receiving device data associated with the caller device that at least includes a geolocation of the caller device;
• applying, in response to an initiation of the incoming call, an inference framework to infer a situational context of the caller based on an analysis of the time-stamped event data, the user profile data of the caller, and the device data, the inference framework including one or more inference rules;
• sending contextual information for the situational context of the caller to the recipient device for presentation to the call recipient via the recipient device;
• receiving feedback of the call recipient from the recipient device following the presentation of the contextual information of the caller;
• and
• modifying the one or more inference rules of the inference framework via a machine-learning algorithm to generate a modified inference framework based on the feedback received from the recipient device.