The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 30, 2026

Filed:

Mar. 08, 2024
Applicant:

Beijing Hydrophis Network Technology Co., Ltd., Beijing, CN;

Inventors:

Feng Hong, Beijing, CN;

Min Huang, Beijing, CN;

Weijie Zhou, Beijing, CN;

Shanliang Xiong, Beijing, CN;

Wenbi Cai, Beijing, CN;

Youpeng Wei, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06Q 10/40 (2026.01);
U.S. Cl.
CPC ...
G06Q 10/40 (2026.01); G06F 40/30 (2020.01);
Abstract

The present disclosure relates to an artificial intelligence technology, and discloses a method, an apparatus, a device, and a storage medium for clustering extraction of entity relationships. The method includes: capturing social relationship data of a user, performing entity recognition operation on the social relationship data to obtain an entity recognition result, and performing reverse marking operation on the social relationship data according to the entity recognition result to obtain a data marking sequence set; performing entity relationship recognition on various data marking sequences in the data marking sequence set to obtain a relationship recognition result, and constructing to obtain an entity-relationship group set; and calculating a character similarity between various entities and a semantic similarity between various entity relationships in the entity-relationship group set, and clustering various entity-relationship groups in the entity-relationship group set. The present disclosure may improve the extraction efficiency of entity relationships.


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