A literature selection and learning sequence determination method

Abstract

The invention discloses a literature selection and learning sequence determination method. The method comprises the steps of constructing a related citation network in the literature network based onthe search words and the mutual reference relationship; calculating the importance degree value of each literature on the basis of the frequency of being led; and eliminating the influence generated by publication years by using a standardized formula, deleting unimportant literature nodes in a related citation network, constructing a literature knowledge map, summing the literature node importance of literature learning paths in the literature knowledge map, and performing descending sort to obtain a literature learning path recommendation list. According to the method, the literature nodes in the literature learning path and the sequential learning relationship of the literature nodes, the problems of information overload, learning carelessness and learning backtracking in current literature learning are solved, the time consumption of literature selection is saved, the literature learning efficiency is improved, the literature learning effect is improved, and the method has an extremely good application prospect.

Description

technical field [0001] The invention belongs to the application field of knowledge discovery, and in particular relates to a method for document selection and its learning sequence determination. Background technique [0002] With the development of science and computer network technology, network documents published in conference journals and magazines in various fields emerge in endlessly and increase continuously. In order to efficiently manage and use documents, many network document knowledge base systems have been born. The existing literature knowledge base has completed the preliminary induction and sorting of literature data, but for researchers, the selection of literature is still a huge problem. In order to solve this problem, a large number of document knowledge bases continue to develop new functions. At the same time, the h-index is proposed to further optimize the document recommendation function of the document knowledge base system. The SCI-E database pla...

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Problems solved by technology

[0008] Purpose of the invention: Aiming at the problems of information overload, learning lost and learning backtracking in the current literature learning, provide a method for literature selection and learning sequence determination, which can effectively solve the above problems

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