公开(公告)号：US20230230035A1

公开(公告)日：2023-07-20

申请号：US17940544

申请日：2022-09-08

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Peng WANG ,  Zheng DONG ,  Hengshu ZHU ,  Xin SONG ,  Jing WANG ,  Jingshuai ZHANG

IPC: G06Q10/10 ,  G06K9/62

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.

公开(公告)号：US20230139642A1

公开(公告)日：2023-05-04

申请号：US18089792

申请日：2022-12-28

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

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.

公开(公告)号：US20220415195A1

公开(公告)日：2022-12-29

申请号：US17899831

申请日：2022-08-31

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Chao WANG ,  Hengshu ZHU ,  Peng WANG ,  Xin SONG

IPC: G09B5/02 ,  G06N5/02 ,  G06N5/04

Abstract: A method for training a course recommendation model, a method for course recommendation, and an apparatus, which relate to a field of big data and deep learning in a field of artificial intelligence technology, and can be applied to recommendation scenarios. The training method includes: obtaining a sample data set, where the sample data set includes user learning data, the user learning data includes record data and ability label data, the record data is used for representing a historical learning process of a sample user, and the ability label data is used for representing a learning ability level of the sample user, and training and generating the course recommendation model according to the user learning data, where the course recommendation model is used for recommending a course for a user, the technical effect of improving the reliability and accuracy of course recommendation is achieved.