Patent ID: 7194466
Filing Date: 2007-03-20
Classification: G06F,G06K,Y10S

Abstract:
1. A computer-implemented method for clustering data, comprising: selecting a first group of objects, wherein each selected object is associated with a webpage; calculating a hub weight vector h according to the first group of objects, such that h=Aa+V calculating an authority weight vector a according to the first group of objects, such that a=A selecting a second group of objects, wherein each selected object is associated with a user and includes at least one link to at least one of the first group of objects; calculating a user weight vector u representing relative importance of each user within the second group of objects, such that u=V(a+h), wherein the user weight vector assigns a weight to each object of the second group according to: performing iterations, wherein each iteration re-calculates the vectors h, a and u, thereby converging the vectors to respective values, wherein the hub weight vector h and the authority weight vector a are based in part on the user weight vector u, such that elements of the h and a vectors are more highly weighted if they are associated with objects in the first group of objects visited by users associated with objects in the second group that are more highly weighted; and reporting webpages with a high hub weight and/or a high authority weight, wherein A is an adjacent matrix of a base set for all three vectors, h, a and u and V is a visit matrix of the users associated with the second group of objects to the webpages associated with the first group of objects.