公开(公告)号：US10733220B2

公开(公告)日：2020-08-04

申请号：US15794487

申请日：2017-10-26

申请人： International Business Machines Corporation

发明人： Steven N. Burchfield ,  Steven P. Lafalce ,  Maurice M. Materise ,  James A. Oconnor

IPC分类号： G06F16/00 ,  G06F16/33 ,  G06F16/93 ,  G06F16/31

摘要： Embodiments of the invention include method, systems and computer program products for using a target similarity calculation to identify relevant content in a corpus of documents or records. The computer-implemented method includes creating, by a processor, a term frequency (TF) list for one or more documents of a corpus. The processor calculates an inverse document frequency (IDF) for each listed term. The processor calculates a TF-IDF for each listed term. The processor determines a similarity ranking for one or more documents of the corpus using a target similarity calculation using the TF-IDF for each listed term.

公开(公告)号：US20190130024A1

公开(公告)日：2019-05-02

申请号：US15794487

申请日：2017-10-26

申请人： International Business Machines Corporation

发明人： Steven N. Burchfield ,  Steven P. Lafalce ,  Maurice M. Materise ,  James A. Oconnor

IPC分类号： G06F17/30

摘要： Embodiments of the invention include method, systems and computer program products for using a target similarity calculation to identify relevant content in a corpus of documents or records. The computer-implemented method includes creating, by a processor, a term frequency (TF) list for one or more documents of a corpus. The processor calculates an inverse document frequency (IDF) for each listed term. The processor calculates a TF-IDF for each listed term. The processor determines a similarity ranking for one or more documents of the corpus using a target similarity calculation using the TF-IDF for each listed term.