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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：US20230122093A1
公开(公告)日：2023-04-20
申请号：US17992041
申请日：2022-11-22
Inventor： Dazhong SHEN , Chuan QIN , Chao WANG , Zheng DONG , Hengshu ZHU , Hui XIONG
IPC: G06F40/30 , G06F40/279 , G06F40/117 , G06N20/00
Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.
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14.发明申请公开(公告)号：US20220282992A1
公开(公告)日：2022-09-08
申请号：US17717872
申请日：2022-04-11
Inventor： Yanyan LI , Peng WANG , Hengshu ZHU , Shilin WU , Dejing DOU
Abstract: The present disclosure provides a method and apparatus for generating an electronic map, an electronic device and a storage medium, and relates to the field of data processing technology. A specific implementation comprises: establishing a plurality of groups of corresponding relationships between enterprise names and enterprise addresses using network data; determining respectively a fine-grained region where each enterprise address is located; and creating an enterprise electronic map of the fine-grained region based on the corresponding relationships between the enterprise names and the enterprise addresses and the fine-grained region where the each enterprise address is located. A corresponding relationship between an enterprise name and an enterprise address is established using existing network data.
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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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