Task execution based on activity clusters

A method for executing tasks, comprising:

• detecting a plurality of user signals for a user, the plurality of user signals comprising a search history of the user;
• identifying activity information from the plurality of user signals, the activity information comprising an action executed by the user;
• generating an activity cluster based on the activity information, wherein generating the activity cluster comprises applying a clustering technique and an ordering technique to the activity information;
• and
• executing a search query for the user based on the activity cluster comprising a plurality of activities that are clustered and ordered.

One or more computer-readable storage media for executing tasks comprising a plurality of instructions that, in response to execution by a processor, cause the processor to:

• detect a plurality of user signals for a user, the plurality of user signals comprising a search history of the user;
• identify activity information from the plurality of user signals, the activity information comprising an action executed by the user;
• generate an activity cluster based on the activity information, wherein generating the activity cluster comprises applying a clustering technique and an ordering technique to the activity information;
• match an activity from a search query to a task, the task comprising the activity cluster;
• generate a final score indicating the activity is related to the task, the final score comprising a combination of a static score, a dynamic score, and a time difference score;
• predict a subsequent activity to be executed based on the final score, wherein the subsequent activity is identified from the activity cluster;
• and
• execute the subsequent activity for the user at a predetermined time.