Learned scheduling of autonomous actions based on collaborative conversations

A system, comprising:

• one or more processors configured to initiate operations including:
• generating groups of action executions that execute on a collaboration platform, wherein the groups of action executions are generated by natural language processing of contextual information extracted from one or more Chat Operations conversations;
• generating recommendation candidates corresponding to the action executions by clustering action executions contained in each of the groups, wherein the clustering is based on times of past executions of the action executions;
• and
• generating a leaned schedule by ranking the recommendation candidates based on the contextual information, wherein the learned schedule indicates one or more recommendations to execute a specific action within a specific time.

A computer program product, the computer program product comprising:

• one or more computer-readable storage media and program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable by a processor to cause the processor to initiate operations including:
• generating groups of action executions that execute on a collaboration platform, wherein the groups of action executions are generated by natural language processing of contextual information extracted from one or more Chat Operations conversations;
• generating recommendation candidates corresponding to the action executions by clustering action executions contained in each of the groups, wherein the clustering is based on times of past executions of the action executions;
• and
• generating a leaned schedule by ranking the recommendation candidates based on the contextual information, wherein the learned schedule indicates one or more recommendations to execute a specific action within a specific time.