Patent ID: 11880400
Assignee: WERT INTELLIGENCE CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for classifying patent documents based on a classification input of a user, comprising:
learning patent documents stored in a patent database by a machine learning technology, establishing a first classification standard based on a 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 a 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,
wherein the classifying of the remaining patent documents based on the basic classification model and the second classification standard comprises:
constructing a user-customized classification model by combining the second classification standard with the basic classification model;
classifying the remaining patent documents which are not yet classified in the patent pool using the user-customized classification model; and
deriving first accuracy of an automatic classification in real time and outputting an indicator of indicating the first accuracy in real time,
wherein the first accuracy is derived based on a number of classifications according to the second classification standard, and/or a number of classification-specific patent documents classified by the user up to now.