Chantat Eksombatchai

Person

Redwood City, CA, US

People

Patents Grantslast 30 patents

Information Patent Grant
Recommending content to subscribers
- Patent number 12,079,289
- Issue date Sep 3, 2024
- Pinterest, Inc.
- Aditya Pal
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Generating neighborhood convolutions within a large network
- Patent number 11,922,308
- Issue date Mar 5, 2024
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Efficient convolutional network for recommender systems
- Patent number 11,797,838
- Issue date Oct 24, 2023
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Machine learning model training
- Patent number 11,783,175
- Issue date Oct 10, 2023
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Node graph pruning and fresh content
- Patent number 11,762,908
- Issue date Sep 19, 2023
- Pinterest, Inc.
- Chantat Eksombatchai
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Recommending content to subscribers
- Patent number 11,409,821
- Issue date Aug 9, 2022
- Pinterest, Inc.
- Aditya Pal
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Data reduction for node graph creation
- Patent number 11,256,747
- Issue date Feb 22, 2022
- Pinterest, Inc.
- Chantat Eksombatchai
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Efficient processing of neighborhood data
- Patent number 11,232,152
- Issue date Jan 25, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Efficient generation of embedding vectors of nodes in a corpus graph
- Patent number 11,227,012
- Issue date Jan 18, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Generating neighborhood convolutions within a large network
- Patent number 11,227,013
- Issue date Jan 18, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Generating neighborhood convolutions according to relative importance
- Patent number 11,227,014
- Issue date Jan 18, 2022
- Amazon Technologies, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Node graph traversal methods
- Patent number 10,762,134
- Issue date Sep 1, 2020
- Pinterest, Inc.
- Chantat Eksombatchai
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Node graph traversal methods
- Patent number 10,740,399
- Issue date Aug 11, 2020
- Pinterest, Inc.
- Chantat Eksombatchai
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Grant
Node graph traversal methods
- Patent number 10,671,672
- Issue date Jun 2, 2020
- Pinterest, Inc.
- Chantat Eksombatchai
- G06 - COMPUTING CALCULATING COUNTING

Patents Applicationslast 30 patents

Information Patent Application
AGGREGATED EMBEDDINGS FOR A CORPUS GRAPH
- Publication number 20240152754
- Publication date May 9, 2024
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
NODE GRAPH PRUNING AND FRESH CONTENT
- Publication number 20230385338
- Publication date Nov 30, 2023
- Pinterest, Inc.
- Chantat Eksombatchai
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
RECOMMENDING CONTENT TO SUBSCRIBERS
- Publication number 20220374474
- Publication date Nov 24, 2022
- Pinterest, Inc.
- Aditya Pal
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
Generating Neighborhood Convolutions Within a Large Network
- Publication number 20220318307
- Publication date Oct 6, 2022
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
EFFICIENT GENERATION OF EMBEDDING VECTORS OF NODES IN A CORPUS GRAPH
- Publication number 20190286655
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
GENERATING NEIGHBORHOOD CONVOLUTIONS ACCORDING TO RELATIVE IMPORTANCE
- Publication number 20190286659
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
MACHINE LEARNING MODEL TRAINING
- Publication number 20190286943
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
EFFICIENT CONVOLUTIONAL NETWORK FOR RECOMMENDER SYSTEMS
- Publication number 20190286752
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
EFFICIENT PROCESSING OF NEIGHBORHOOD DATA
- Publication number 20190286754
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING
Information Patent Application
GENERATING NEIGHBORHOOD CONVOLUTIONS WITHIN A LARGE NETWORK
- Publication number 20190286658
- Publication date Sep 19, 2019
- Pinterest, Inc.
- Jurij Leskovec
- G06 - COMPUTING CALCULATING COUNTING

Chantat Eksombatchai

Person

Patents Grantslast 30 patents

Recommending content to subscribers

Generating neighborhood convolutions within a large network

Efficient convolutional network for recommender systems

Machine learning model training

Node graph pruning and fresh content

Recommending content to subscribers

Data reduction for node graph creation

Efficient processing of neighborhood data

Efficient generation of embedding vectors of nodes in a corpus graph

Generating neighborhood convolutions within a large network

Generating neighborhood convolutions according to relative importance

Node graph traversal methods

Node graph traversal methods

Node graph traversal methods

Patents Applicationslast 30 patents

AGGREGATED EMBEDDINGS FOR A CORPUS GRAPH

NODE GRAPH PRUNING AND FRESH CONTENT

RECOMMENDING CONTENT TO SUBSCRIBERS

Generating Neighborhood Convolutions Within a Large Network

EFFICIENT GENERATION OF EMBEDDING VECTORS OF NODES IN A CORPUS GRAPH

GENERATING NEIGHBORHOOD CONVOLUTIONS ACCORDING TO RELATIVE IMPORTANCE

MACHINE LEARNING MODEL TRAINING

EFFICIENT CONVOLUTIONAL NETWORK FOR RECOMMENDER SYSTEMS

EFFICIENT PROCESSING OF NEIGHBORHOOD DATA

GENERATING NEIGHBORHOOD CONVOLUTIONS WITHIN A LARGE NETWORK