Knowledge recommendation method and system based on big data and deep learning

Abstract

The invention discloses a knowledge recommendation method and system based on big data and deep learning. The method comprises the following steps that: according to scene data information, carrying out scene analysis; adopting a deep learning method to process operation and maintenance personnel data information to generate an operation and maintenance personnel portrait; according to a screen analysis result and the operation and maintenance personnel portrait, carrying out knowledge selection to obtain a knowledge recommendation set; and according to the knowledge recommendation set, carrying out knowledge recommendation. The system comprises a scene analysis module, an operation and maintenance personnel portrait generation module, a knowledge selection module and a knowledge recommendation module. By use of the method and the system, the scene analysis result and the operation and maintenance personnel portrait are synthesized to carry out knowledge selection and knowledge recommendation, and knowledge recommendation accuracy is improved from two dimensions including a use scene and a use user; and the deep learning method is adopted to learn data information including the operation behavior of the operation and maintenance personnel and the like, and therefore, the operation and maintenance personnel portrait is more and more accurate. The method and the system can be widely applied to the field of computer application.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a knowledge recommendation method and system based on big data and deep learning. Background technique [0002] With the advent of knowledge economy today, knowledge has been promoted to the position of strategic resources by enterprises, and it is imperative for enterprises to adopt knowledge management. As the business system becomes larger, the business logic becomes more complex, the system changes more frequently, and the work requirements become higher and higher, it becomes more and more difficult to operate and manage the business support network. By building a unified knowledge base with rich content and everyone's participation, it can achieve the purpose of establishing knowledge upload and release channels for enterprises, building a learning business support team, and helping the company's long-term sustainable and healthy development. [0003] Knowledge Managem...

AI Technical Summary

Problems solved by technology

However, this method fails to consider the key information of users of knowledge applications (such as knowledge operation and maintenance personnel, etc.), and the accuracy rate is not ideal

At the same time, this method cannot continuously learn and self-correct to adapt to changing situations, and its accuracy will become lower and lower over time

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