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1.发明申请公开(公告)号：US20220114822A1
公开(公告)日：2022-04-14
申请号：US17559643
申请日：2021-12-22
Inventor： Chao MA , Jingshuai ZHANG , Qifan HUANG , Kaichun YAO , Peng WANG , Hengshu ZHU
IPC: G06V30/148 , G06V30/41 , G06V30/262 , G06V30/18
Abstract: A method, an apparatus, a device, a storage medium and a program product of performing a text matching are provided, which relate to a field of a computer technology, and in particular to natural language processing and deep learning technologies. The method includes: determining a word set and a plurality of semantic units from a text set, the word set is associated with a first predetermined attribute, and the text set contains a plurality of first texts indicating an object information and a plurality of second texts indicating an object demand information; generating a graph; and generating a final feature representation associated with the text set and the word set based on the graph and a graph convolution model, so as to perform the text matching.
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公开(公告)号：US20230230035A1
公开(公告)日：2023-07-20
申请号：US17940544
申请日：2022-09-08
Inventor： Peng WANG , Zheng DONG , Hengshu ZHU , Xin SONG , Jing WANG , Jingshuai ZHANG
CPC classification number: G06Q10/101 , G06K9/6276 , G06K9/6272 , G06K9/6215 , G06Q50/01
Abstract: The present disclosure provides a method and apparatus for constructing an organizational collaboration network, and relates to the field of artificial intelligence, and particularly to the field of big data analysis. A specific implementation includes: acquiring collaborative data between at least one pair of organizations; calculating at least one collaboration index between each pair of organizations according to the collaborative data; calculating, for each pair of organizations, a degree of closeness between the pair of organizations according to a weighted sum of the at least one collaboration index between the pair of organizations; and using each organization as a node, a relationship between each pair of organizations as an edge, and the degree of closeness between each pair of organizations as a weight of the edge, to construct the organizational collaboration network.
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Patent Agency Ranking
公开(公告)号：US20220129856A1
公开(公告)日：2022-04-28
申请号：US17564363
申请日：2021-12-29
Inventor： Jingshuai ZHANG , Qifan HUANG , Chao MA , Hengshu ZHU , Peng WANG , Kaichun YAO , Jing WANG
Abstract: The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance.
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公开(公告)号：US20230139642A1
公开(公告)日：2023-05-04
申请号：US18089792
申请日：2022-12-28
Inventor： Kaichun YAO , Hengshu ZHU , Peng WANG , Xin SONG , Jingshuai ZHANG , Chuan QIN , Jing WANG
IPC: G06F40/289 , G06F40/35 , G06F40/205
Abstract: A method and an apparatus for extracting a skill label, and a method and an apparatus for training a candidate phrase classification model are provided. The method for extracting the skill label includes obtaining a plurality of words by performing word segmentation on a sentence to be extracted, and determining a multi-dimensional feature vector of each word; extracting a candidate phrase from the sentence to be extracted; determining a multi-dimensional feature vector of each word in the candidate phrase according to the multi-dimensional feature vector of each word; generating a semantic representation vector of the candidate phrase according to the multi-dimensional feature vector of each word in the candidate phrase; and extracting the skill label from the sentence to be extracted based on the semantic representation vector of the candidate phrase.
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公开(公告)号：US20210406464A1
公开(公告)日：2021-12-30
申请号：US17169341
申请日：2021-02-05
Inventor： Jingshuai ZHANG , Chao MA , Hengshu ZHU , Kaichun YAO
IPC: G06F40/253 , G06N3/04 , G06F40/284 , G06F40/166
Abstract: The present disclosure provides a skill word evaluation method for a resume, and relates to the technical field of machine learning. The method includes determining a to-be-evaluated first skill word list including a plurality of skill words, according to a resume document to be evaluated; and predicting, for each skill word in the first skill word list, a value of probability of presence of the skill word for representing importance of the skill word, by a pre-trained skill word evaluation model according to context information of the skill word in the first skill word list. The present disclosure further provides a skill word evaluation device, an electronic device and a non-transitory computer readable storage medium.
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公开(公告)号：US20220122022A1
公开(公告)日：2022-04-21
申请号：US17564372
申请日：2021-12-29
Inventor： Kaichun YAO , Jingshuai ZHANG , Hengshu ZHU , Chuan QIN , Chao MA , Peng WANG
Abstract: The present disclosure provides a method of processing data, a device and a computer-readable storage medium, which relates to a technical field of artificial intelligence, and in particular to fields of intelligent search and deep learning. The method includes: generating a resume heterogeneous graph and a job heterogeneous graph; determining a first matching feature representation for the resume and the job profile based on first and second node feature representations for a first node in the resume heterogeneous graph and a second node in the job heterogeneous graph respectively; determining a second matching feature representation for the resume and the job profile based on first and second graph feature representations for the resume heterogeneous graph and the job heterogeneous graph respectively; and determining a similarity between the resume and the job profile based on the first and second matching feature representations.
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公开(公告)号：US20220121826A1
公开(公告)日：2022-04-21
申请号：US17564369
申请日：2021-12-29
Inventor： Chao MA , Jingshuai ZHANG , Qifan HUANG , Kaichun YAO , Peng WANG , Hengshu ZHU
Abstract: A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.
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