Patent ID: 9158841
Filing Date: 2015-10-13
Classification: G06F

Abstract:
1. A method of identifying a first set of items from a first semantic space that are semantically related to a second set of items from a second semantic space, the method comprising: generating an induced semantic space for the first semantic space, the induced semantic space represented as a square matrix in which each matrix entry (i, j) is a numeric representation of an association strength between item i and item j in the first set of items; setting matrix entries below a defined replacement threshold to 0; selecting e items having the highest value entries from the j columns; ranking the e items by association strength entry values; selecting n items having the highest value entries from the e items; calculating a similarity measure between each of the n items selected from the first semantic space and each of the n items selected from the second semantic space; and calculating an aggregate similarity value from the similarity measures between each of the n items selected from the first semantic space and each of the n items selected from the second semantic space.