A question and answer library knowledge management system based on deep learning and an implementation method thereof

Abstract

The invention relates to the technical field of big data, in particular to a question and answer library knowledge management system based on deep learning and an implementation method thereof. The system comprises a global setting module, a knowledge management module, a knowledge learning module, a knowledge statistics module, a session simulation module and a terminal docking module, each module has setting functions of adding, deleting, modifying, checking and the like; the method comprises the following basic steps: (1) carrying out global setting; (2) performing knowledge management, including knowledge creation; (3)carrying out knowledge learning, wherein knowledge mining and problem clustering are carried out through an iteration process of big data information / historical sessions,and user annotation feedback is carried out; (4) carrying out session simulation: simulating a session of a real environment; (5) carrying out knowledge statistics, and high frequency and sudden increase problems in the application field are understood for improvement and decision making; and (6) carrying out multi-terminal adaptation and distribution on the packages by the modules. According tothe system and the method, the natural language habit of human beings can be known, the complex problem of a user can be known, and manual intervention is not needed.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a question-and-answer database knowledge management system based on deep learning and its implementation method. Background technique [0002] At present, FAQ (question answering) systems are widely used in scenarios such as customer service, sales, and robot assistants; but they often face the following problems: [0003] A: Question and answer matching question; the current mainstream matching method is to match according to the keyword of the customer's question, and it is required to completely match the keyword that has been set; if the semantics are similar but the words are different, it often leads to the problem of no match. [0004] B: Self-expanding learning problems; it is impossible to autonomously / manually correlate customer intentions, correlate standard questions, and mine and expand standard questions based on historical data. Contents of the invention [00...

AI Technical Summary

Problems solved by technology

[0005] The technical problem solved by the present invention is to provide a question-and-answer database knowledge management system based on deep learning and its implementation method; the system and method of the present invention can understand the natural language habits of human beings, and can know whether the user's complex questions are tagged questions Similar issues; no human intervention required

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