MACHINE LEARNING-BASED USER-CUSTOMIZED AUTOMATIC PATENT DOCUMENT CLASSIFICATION METHOD, DEVICE, AND SYSTEM

摘要

A method for classifying patent documents may include the steps of learning patent documents stored in a patent database by machine learning technology, establishing a first classification standard based on similarity between the patent documents, and generating a basic classification model of classifying the patent documents based on the first classification standard; generating a patent pool including a plurality of patent documents based on a search and/or selection input of the user; receiving the classification input of the user and classifying the plurality of patent documents included in the patent pool according to the classification input; predicting a second classification standard classifying the plurality of patent documents by the user based on the similarity between the classified patent documents; and classifying remaining patent documents which are not yet classified in the patent pool based on the basic classification model and the second classification standard.