Patent ID: 9495635
Filing Date: 2016-11-15
CPC Classification: G06F,G06K,G06N

Claim Text:
1. A method of computing significance between entities comprising: automatically identifying a first entity and a second entity from a plurality of entities appearing within a document, the first entity having a first association with the second entity, and the second entity having a second association with the first entity; automatically generating a set of context pairs representing a contextual relationship existing between the first and second entities; automatically determining the first and second associations based at least in part on occurrences and co-occurrences of the first and second entity within the document and on the set of context pairs; assigning a set of association criteria to the first association and determining a plurality of criteria values for the set of association criteria selected from a group consisting essentially of interestingness, recent interestingness, validation, shared neighbor, temporal significance, context consistency, recent activity, current clusters, and surprise element, the set of association criteria being other than similarity criteria; weighting the plurality of criteria values assigned to the first association; computing a significance score for the first entity with respect to the second entity based on a sum of the plurality of weighted criteria values for the first association, the significance score indicating a level of significance of the second entity to the first entity, wherein the significance score represents a quantification of the contextual relationship between the first and second entities; generating a signal associated with the computed significance score; and transmitting the signal.