Patent ID: 8762374
Filing Date: 2014-06-24
Classification: G06F,G06N

Abstract:
1. A method comprising: detecting bursts of activity associated with a particular user, wherein a given one of the bursts of activity is indicated by an increased level of activity of the particular user above a threshold level of activity of that particular user and wherein the given one of the bursts of activity comprises one or more of opening, modifying and closing a local resource of a computing device associated with the particular user; mapping the bursts to tasks performed by the particular user; generating a user model specific to the particular user based on the mapping of bursts to tasks, wherein the user model comprises a Hidden Markov Model and generating the user model comprises generating a first version of the user model and generating a second version of the user model, the first version of the user model being associated with a first set of services and the second version of the user model being associated with a second set of services, the first set of services being different than the second set of services; and providing personalized query processing to the particular user based on the user model; wherein providing personalized query processing comprises: