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:
Oct. 11, 2022

Filed:

Mar. 05, 2019
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Pengpeng Zhao, Shenzhen, CN;

Zhiyong Wu, Shenzhen, CN;

Yongkun Li, Shenzhen, CN;

Jun Yin, Shenzhen, CN;

Dafu Deng, Shenzhen, CN;

Longjun Sun, Shenzhen, CN;

Juhong Wang, Shenzhen, CN;

Wei Chen, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06Q 50/00 (2012.01); G06F 16/9535 (2019.01); G06F 16/901 (2019.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
G06Q 50/01 (2013.01); G06F 16/00 (2019.01); G06F 16/9024 (2019.01); G06F 16/9535 (2019.01); H04L 67/22 (2013.01);
Abstract

This disclosure relates to an account filtering method and apparatus. The method includes obtaining user accounts of a social activity network and user activity information; constructing a hypergraph of the social activity network comprising nodes and hyperedges according to the user accounts and the user activity information, wherein a node in the hypergraph comprises the user account in the social activity network, and a hyperedge in the hypergraph comprises a set of user accounts that participates in a user activity of an activity type, or a friendship relation between one user account and another user account; for each node in the hypergraph, calculating a probability that another node of the hypergraph would walk to the node when performing a random walk along the hyperedge in the hypergraph, and obtaining an influence value of the node in the social activity network according to the probability; and sequentially filtering nodes of the hypergraph to obtain a sequence of nodes having a maximum influence by using an iteration algorithm, to form a seed node set.


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