公开(公告)号：US20230034027A1

公开(公告)日：2023-02-02

申请号：US17873371

申请日：2022-07-26

Applicant: KYOCERA Document Solutions Inc.

Inventor： Koji SATO ,  Kanako MORIMOTO ,  Rui HAMABE ,  kazunori TANAKA ,  Takuya MIYAMOTO

IPC: G06K9/62 ,  G06F16/33

Abstract: A vector generation unit derives a feature vector of a reference document and a feature vector of a population document. A feature quantity extraction unit performs a dimensionality reduction process to reduce dimensionality of the above feature vectors and sets a dimensional value obtained by the dimensionality reduction process as a first feature quantity, and derives a cosine similarity between the feature vector of the reference document and the feature vector of the population document as a second feature quantity. A retrieval range control unit extracts a specific number of population documents, starting from the population document with the shortest distance to the reference document in a feature quantity space of the first feature quantity, so as to limit a retrieval range. A training data extraction unit extracts, as training data, a specific number of documents from the extracted documents, starting from the document with the lowest cosine similarity.