College research and development direction recommendation method based on big data mining

Abstract

The invention relates to a college research and development direction recommendation method based on big data mining, and the method comprises the steps: taking a school scientific researcher information database of each college to which a scientific research office management system belongs as the basis, and obtaining a college research and development direction recommendation result according toan obtained nationwide common college subject ranking list and preset subject keywords; obtaining a comprehensive strength influence coefficient corresponding to each college, analyzing to obtain anIPC subclass number to which the current research and development of each college belongs and a contribution weight value of each IPC subclass number in a national common college subject ranking liston the basis of the scientific research achievement condition of each college, and obtaining a scientific research strength value of each college, using the differentiated IPC subclass number corresponding to the maximum contribution weight value as the preferred recommendation research direction of the college subject to which the scientific research office management system belongs, paying attention on scientific research data of big data as a data mining source of recommendation analysis of the research and development direction to avoid subjective judgment errors existing in traditional manual analysis of the research and development direction.

Description

technical field [0001] The invention relates to the field of scientific research management in colleges and universities, in particular to a method for recommending research and development directions in colleges and universities based on big data mining. Background technique [0002] As an important part of national higher education, colleges and universities must not only undertake the national higher education plan, but also undertake various scientific research projects, so as to gradually promote the development of comprehensive strength of colleges and universities themselves. As colleges and universities urgently need to improve their own comprehensive strength, they constantly adjust their research and development direction (or research direction) of various disciplines, balance the research and development balance between strong and weak disciplines, and determine the research and development direction that meets their own development needs. For colleges and universi...

AI Technical Summary

Problems solved by technology

[0004] However, the existing methods for recommending research and development directions in universities are mainly based on the manual analysis of various materials and a large amount of data of the university by the staff of the scientific research department. Recommendations rely too much on manual judgment and analysis, and because different staff members have different interpretations and analyzes of the same data, the recommendations for research and development directions formed by different personnel using the same data are quite different, and it is impossible to form a more comprehensive, objective and in-line university. R&D direction recommendations for actual R&D needs

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