公开(公告)号：US20230342403A1

公开(公告)日：2023-10-26

申请号：US18345886

申请日：2023-06-30

Applicant: Open Text Corporation

Inventor： Lei Zhang ,  Chao Chen ,  Kun Zhao ,  Jingjing Liu ,  Ying Teng

IPC: G06F16/93 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2457

CPC classification number: G06F16/93 ,  G06F16/2246 ,  G06F16/2455 ,  G06F16/24578

Abstract: A method for document similarity analysis. The method includes generating a reference document content identifier for a reference document, including identifying frequently occurring terms in reference document content, encoding each frequently occurring term in a term identifier and combining the term identifiers to form the reference document content identifier associated with the reference document. The method also includes obtaining at least one document similarity value by comparing the reference document content identifier to a set of archived document content identifiers stored in a document repository.

公开(公告)号：US12189693B2

公开(公告)日：2025-01-07

申请号：US18345886

申请日：2023-06-30

Applicant: Open Text Corporation

Inventor： Lei Zhang ,  Chao Chen ,  Kun Zhao ,  Jingjing Liu ,  Ying Teng

IPC: G06F16/93 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2457

Abstract: A method for document similarity analysis. The method includes generating a reference document content identifier for a reference document, including identifying frequently occurring terms in reference document content, encoding each frequently occurring term in a term identifier and combining the term identifiers to form the reference document content identifier associated with the reference document. The method also includes obtaining at least one document similarity value by comparing the reference document content identifier to a set of archived document content identifiers stored in a document repository.

公开(公告)号：US10572544B1

公开(公告)日：2020-02-25

申请号：US14968421

申请日：2015-12-14

Applicant: Open Text Corporation

Inventor： Lei Zhang ,  Chao Chen ,  Kun Zhao ,  Jingjing Liu ,  Ying Teng

IPC: G06F16/93 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2457

Abstract: A method for document similarity analysis. The method includes generating a reference document content identifier for a reference document, including identifying frequently occurring terms in reference document content, encoding each frequently occurring term in a term identifier and combining the term identifiers to form the reference document content identifier associated with the reference document. The method also includes obtaining at least one document similarity value by comparing the reference document content identifier to a set of archived document content identifiers stored in a document repository.

公开(公告)号：US20200183986A1

公开(公告)日：2020-06-11

申请号：US16791628

申请日：2020-02-14

Applicant: OPEN TEXT CORPORATION

Inventor： Lei Zhang ,  Chao Chen ,  Kun Zhao ,  Jingjing Liu ,  Ying Teng

IPC: G06F16/93 ,  G06F16/2457 ,  G06F16/2455 ,  G06F16/22

Abstract: A method for document similarity analysis. The method includes generating a reference document content identifier for a reference document, including identifying frequently occurring terms in reference document content, encoding each frequently occurring term in a term identifier and combining the term identifiers to form the reference document content identifier associated with the reference document. The method also includes obtaining at least one document similarity value by comparing the reference document content identifier to a set of archived document content identifiers stored in a document repository.

公开(公告)号：US11734364B2

公开(公告)日：2023-08-22

申请号：US16791628

申请日：2020-02-14

Applicant: OPEN TEXT CORPORATION

Inventor： Lei Zhang ,  Chao Chen ,  Kun Zhao ,  Jingjing Liu ,  Ying Teng

IPC: G06F16/93 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2457

CPC classification number: G06F16/93 ,  G06F16/2246 ,  G06F16/2455 ,  G06F16/24578

Abstract: A method for document similarity analysis. The method includes generating a reference document content identifier for a reference document, including identifying frequently occurring terms in reference document content, encoding each frequently occurring term in a term identifier and combining the term identifiers to form the reference document content identifier associated with the reference document. The method also includes obtaining at least one document similarity value by comparing the reference document content identifier to a set of archived document content identifiers stored in a document repository.