TARGETED PRIORITIZATION WITHIN A NETWORK BASED ON USER-DEFINED FACTORS AND SUCCESS RATES

Patent №

US 11,783,243

Granted

2023-10-10

Filed 2017

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15709495

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: establishing a relationship graph for a certain user, the relationship graph having a primary node that specifies the certain user and a plurality of lower order nodes, wherein the primary node and at least one lower order node of the plurality of lower order nodes is connected to at least one other node by an edge so that there are defined a plurality of edges; generating a prioritized list of individuals to provide assistance to the certain user in respect to the certain task based on populated edge weight scores for edges of the relationship graph; and providing one or more output based on the prioritized list.

Knowledge representationPlanningG06Q 10/063112G06F 21/6218G06F 16/24578G06F 2221/2111G06Q 10/06

AI classification

Planning1.00
Knowledge representation1.00
Natural language0.18
Machine learning0.11
AI hardware0.04
Evolutionary computation0.04
Speech0.00
Vision0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 436330582

Assignors

LU, CINDY HAN, MANDHAN, ISHITA, TRAN, THAI QUOC, VAN ECK, PAUL

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

From the same owner

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