Abstract: A method for data clustering may comprise entering data into a computer network comprising a master processor, an array of slave processors, and two cluster seats associated with each slave processor; executing a master process comprising dividing the data into clusters, sending the clusters to the cluster seats, initializing an optimization cycle, and computing an objective function. The optimization cycle includes the parallel execution by the slave processors of a slave process, which includes exchanging data between paired clusters so as to increase the objective function based on two modalities, and then resorting the cluster pairs for a subsequent iteration of the process.

Abstract: One embodiment is a method that determines at a client computer a relevancy of information received with respect to a user profile. The method then adjusts a ranking of the information according to the relevancy and displays a selected portion of the adjusted information on the client computer.