Messaging system for automatically generating semantic contextual messages

A non-transitory computer readable medium storing code for responding with an automatically generated semantic contextual message, the code comprising instructions executable by a processor to:

• prompt a user to grant access to a plurality of data sources of the user and to a plurality of contacts of the user;
• prompt the user to set a preference for each contact listing which of the data sources are shareable with the corresponding contact and which of the data sources are not shareable with the corresponding contact;
• monitor a network for an incoming communication from a caller to the user, and determine whether the user is available to receive the incoming communication;
• identify one of the contacts associated with the incoming communication, collect data from the data sources listed by the preference of the identified one contact, and generate a semantic contextual message based on the collected data, when it is determined that the user is not available;
• and
• output the semantic contextual message across the network to the caller,
• wherein the collected data includes data from the data sources listed by the preference as being shareable with the corresponding contact and excludes any data from the data sources listed by the preference as not being shareable with the corresponding contact, and each of the data sources is a source located outside a messaging system executing the instructions,
• wherein the generate of the semantic contextual message comprises:
• identifying contextual keywords and corresponding timestamps indicating a time when a corresponding event occurred from the collected data;
• ordering the contextual keywords in a chronological order according to the corresponding timestamps;
• and
• passing the ordered contextual keywords to an artificial neural network.

A method for responding with an automatically generated semantic contextual message, comprising:

• prompting a user to grant access to a plurality of data sources of the user and to a plurality of contacts of the user;
• prompting the user to set a preference for each contact listing which of the data sources are shareable with the corresponding contact and which of the data sources are not shareable with the corresponding contact;
• monitoring a network for an incoming communication from a caller to the user, and determining whether the user is available to receive the incoming communication;
• identifying one of the contacts associated with the incoming call, collecting data from the data sources listed by the preference of the identified one contact, and generating a semantic contextual message based on the collected data, when it is determined that the user is not available;
• and
• outputting the semantic contextual message across the network to the caller,
• wherein the collected data includes data from the data sources listed by the preference as being shareable with the corresponding contact and excludes any data from the data sources listed by the preference as not being shareable with the corresponding contact, and each of the data sources is a source located outside the messaging system,
• wherein the generating of the semantic contextual message comprises:
• identifying contextual keywords and corresponding timestamps indicating a time when a corresponding event occurred from the collected data;
• ordering the contextual keywords in a chronological order according to the corresponding timestamps;
• and
• passing the ordered contextual keywords to an artificial neural network.