GENERATING NEIGHBORHOOD CONVOLUTIONS ACCORDING TO RELATIVE IMPORTANCE

Patent №

US 11,227,014

Granted

2022-01-18

Filed 2019

Owner

PINTEREST, INC.

Lab

AI components

4

ml · nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16273969

Systems and methods for generating embeddings for nodes of a corpus graph are presented. More particularly, embedding information of a target node may be based on the node itself, as well as related, relevant nodes to the target node within a corpus graph. The information of various nodes among the relevant nodes to the target node can be used to weight or influence the embedding information. Disclosed systems and methods include generating neighborhood embedding information for a target node, where the neighborhood embedding information includes embedding information from neighborhood nodes of the target node's relevant neighborhood, and where certain nodes having more relevance to the target node can be weighted to influence the generation of the neighborhood embedding information over nodes having less relevance to the target node.

Machine learningNatural languageKnowledge representationAI hardwareG06N 3/08G06F 16/182G06F 16/2272G06F 16/51G06F 16/9024G06F 16/9035G06F 16/906G06F 16/9535+17 more

AI classification

Natural language1.00
Knowledge representation1.00
AI hardware1.00
Machine learning1.00
Planning0.39
Evolutionary computation0.01
Vision0.00
Speech0.00

Ownership

PINTEREST, INC.

assignment · 483130178

Assignors

LESKOVEC, JURIJ, EKSOMBATCHAI, CHANTAT, CHEN, KAIFENG, HE, RUINING, YING, REX

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

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