公开(公告)号：US20230125711A1

公开(公告)日：2023-04-27

申请号：US17511162

申请日：2021-10-26

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shan Li ,  Baoxu Shi ,  Jaewon Yang

IPC: G06F40/16 ,  G06F40/40 ,  G06K9/62 ,  G06N3/04

Abstract: Described herein are techniques for using a graph neural network to encode online job postings as embeddings. First, an input graph is defined by processing one or more rules to discover edges that connect nodes in an input graph, where the nodes of the input graph represent job postings or standardized job attributes, and the edges are determined based on analyzing a log of user activity directed to online job postings. Next, a graph neural network (GNN) is trained based on an edge prediction task. Finally, once trained, the GNN is used to derive node embeddings for the nodes (e.g., job postings) of the input graph, and in some instances, new online job postings not represented in the original input graph.

公开(公告)号：US11710070B2

公开(公告)日：2023-07-25

申请号：US16853442

申请日：2020-04-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Baoxu Shi ,  Shan Li ,  Jaewon Yang ,  Mustafa Emre Kazdagli ,  Feng Guo ,  Fei Chen ,  Qi He

IPC: G06N20/00 ,  G06N3/00 ,  G06N5/00 ,  G06Q10/00 ,  G06Q10/1053 ,  G06N5/04 ,  G06N3/08

CPC classification number: G06N20/00 ,  G06N3/08 ,  G06N5/04 ,  G06Q10/1053

Abstract: In an example embodiment, a screening question-based online screening mechanism is provided to assess job applicants automatically. More specifically, job-specific questions are automatically generated and asked to applicants to assess the applicants using the answers they provide. Answers to these questions are more recent than facts contained in a user profile and thus are more reliable measures of an appropriateness of an applicant's skills for a particular job.

公开(公告)号：US20210326747A1

公开(公告)日：2021-10-21

申请号：US16853442

申请日：2020-04-20

Applicant: Microsoft Technology Licensing, LLC.

Inventor： Baoxu Shi ,  Shan Li ,  Jaewon Yang ,  Mustafa Emre Kazdagli ,  Feng Guo ,  Fei Chen ,  Qi He

IPC: G06N20/00 ,  G06N5/04 ,  G06Q10/10

Abstract: In an example embodiment, a screening question-based online screening mechanism is provided to assess job applicants automatically. More specifically, job-specific questions are automatically generated and asked to applicants to assess the applicants using the answers they provide. Answers to these questions are more recent than facts contained in a user profile and thus are more reliable measures of an appropriateness of an applicant's skills for a particular job.

公开(公告)号：US11861295B2

公开(公告)日：2024-01-02

申请号：US17511162

申请日：2021-10-26

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shan Li ,  Baoxu Shi ,  Jaewon Yang

IPC: G06F40/16 ,  G06F40/40 ,  G06N3/04 ,  G06F18/214 ,  G06F18/2137

CPC classification number: G06F40/16 ,  G06F18/214 ,  G06F18/21375 ,  G06F40/40 ,  G06N3/04

Abstract: Described herein are techniques for using a graph neural network to encode online job postings as embeddings. First, an input graph is defined by processing one or more rules to discover edges that connect nodes in an input graph, where the nodes of the input graph represent job postings or standardized job attributes, and the edges are determined based on analyzing a log of user activity directed to online job postings. Next, a graph neural network (GNN) is trained based on an edge prediction task. Finally, once trained, the GNN is used to derive node embeddings for the nodes (e.g., job postings) of the input graph, and in some instances, new online job postings not represented in the original input graph.