Intelligent answering method and system

Abstract

The invention relates to the technical field of human-computer interaction and discloses an intelligent method and system. The method comprises the following steps: receiving problems asked by users, carrying out semantic processing on the problems and obtaining problems subjected to the semantic extension; preliminarily searching answers corresponding to the problems subjected to the semantic extension; if the problems are known, directly returning the corresponding answers; otherwise, adding the problems into an unknown problem array; carrying out similarity computation on each unknown problem in the unknown problem array with known problems in a system; if a known problem with the highest similarity exceeds a preset threshold value, returning the answer corresponding to the known problem; otherwise, searching and recording the answers of the unknown problems. According to the technical scheme, the problems that intelligent customer services are relatively single in content of a knowledge base and cannot automatically learn and enrich knowledge can be solved by automatically learning the unknown problems of the users to complete business depth and width of the system of the knowledge base.

Description

technical field [0001] The present invention relates to the technical field of human-computer interaction, in particular to an intelligent response method and system. Background technique [0002] With the continuous development of computer processing capabilities, the traditional human-computer interaction based on manual operations has begun to turn to machine intelligence interaction, but the current machine intelligence is still essentially pre-set by humans. There is still a big gap for machines to complete interactions autonomously. [0003] For example, the current common human-computer dialogue or intelligent customer service systems generally rely on pre-established databases (question databases or knowledge databases, etc.) to achieve answers. This type of response system can achieve a relatively ideal response effect to existing questions in the database, but it is usually unable to deal with unknown questions. Even because there may be multiple expressions in th...

AI Technical Summary

Problems solved by technology

This type of response system can achieve a relatively ideal response effect to existing questions in the database, but it is usually unable to deal with unknown questions. Even because there may be multiple expressions in the questioning method and the use of words, a small change in the question may not be correct. Answer, poor user experience

For this type of situation, the existing technology needs to continuously add questions and corresponding answers in the database. Usually, the operator manually enters the questions and answers in the management background. This method is often inefficient, and the questions added by the operator are usually It is not what the customer wants to ask or has asked before, and the depth and breadth of the business and the depth and breadth of the questions and answers are limited by the personal level of the operator, so that the existing response system cannot achieve beneficial positive growth, and the degree of intelligence is low

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