VISUALLY REPRESENTING A HIERARCHY OF CATEGORY NODES

Patent №

US 8,954,893

Granted

2015-02-10

Filed 2009

Owner

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Lab

AI components

4

ml · nlp · vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12614193

In a method of visually representing a hierarchy of category nodes that identify one or more concepts, accesses to documents are tracked and one or more concepts that are relevant to the accessed documents are determined. In addition, one or more category paths through the hierarchy of category nodes for the determined one or more concepts are determined and relevance levels for the category nodes with respect to the determined one or more concepts are determined based upon the generated one or more category paths. Moreover, a graph depicting a visual representation of the relevance levels determined for each of the category nodes in the hierarchy of category nodes is constructed.

AI classification

Natural language1.00
Knowledge representation1.00
Machine learning1.00
Vision0.66
AI hardware0.38
Planning0.22
Evolutionary computation0.01
Speech0.00

Ownership

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

assignment · 235320415

Assignors

SAYERS, CRAIG PETER, ZENDEJAS, IGNACIO, LUKOSE, RAJAN, SCHOLZ, MARTIN, RAJARAM, SHYAMSUNDAR

On an employer assignment, the assignors are typically the inventors.

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