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. 13, 2023

Filed:

Jun. 28, 2022
Applicant:

Lemon Inc., Grand Cayman, KY;

Inventors:

Han Wang, Los Angeles, CA (US);

Hongyu Xiong, Los Angeles, CA (US);

Zheng Chen, Los Angeles, CA (US);

Tianyu Zhang, Los Angeles, CA (US);

Yiqi Feng, Los Angeles, CA (US);

Yuan Gao, Los Angeles, CA (US);

Xiangyu Zeng, Los Angeles, CA (US);

Rui Li, Los Angeles, CA (US);

Qingyi Lu, Los Angeles, CA (US);

Yihan Yang, Los Angeles, CA (US);

Yu Zhang, Los Angeles, CA (US);

Bin Liu, Los Angeles, CA (US);

Assignee:

Lemon Inc., Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/958 (2019.01); G06F 16/954 (2019.01);
U.S. Cl.
CPC ...
G06F 16/958 (2019.01); G06F 16/954 (2019.01);
Abstract

There are provided methods, devices, and computer program products for similarity determination. In a method, first and second access data are obtained for a first and a second group of users who access a first and a second website, respectively. A first and a second jump path are generated for the first and second groups of users based on the first and second access data, respectively. The first and second jump paths describe access history for the first and second groups of users among webpages in the first and second websites, respectively. A similarity is determined between the first and second websites based on the first and second jump paths. Here, access data are used for similarity determination and unvisited webpages are not considered in the similarity determination. Therefore, the computation workload may be lowered, and the noise caused by the unvisited webpages may be reduced.


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