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Collaborative Filtering Algorithm and Factors Analysis of Professional Growth of Innovative Talents Based on Data Mining Technology

원문정보

초록

영어

With the development of information technology, technology mining technology can help users to find the needed information accurately and efficiently. In this paper, the author makes factors analysis of professional growth of innovative talents based on data mining technology. Knowledge innovation is the starting point of scientific and technological innovation, and the development of innovative talents is the most important and the scarcest resource for enterprises. By analyzing the professional growth of innovative talents, we construct the evaluation index system of innovative talents. The conclusion proves that the balance between supply and demand of enterprise and personal professional growth is the important factor to promote organizational technology progress and the career development of employees.

목차

Abstract
 1. Introduction
 2. Data Mining Theory
  2.1. Collaborative Filtering Algorithm
  2.2. Structural Risk Minimization
 3. R&D Professionals Based On the Evolution of Independent Innovation
  3.1. Learning Requirements Phase
  3.2. Stage of Development Demand
  3.3. Technological Innovation Stage
 4. Empirical Analysis
  4.1. Evaluation Principle
  4.2. The Evaluation Index
  4.3. Principal Component Factor Analysis
 5. Conclusions
 References

저자정보

  • Qian Cheng School of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China, Zhejiang Financial College, Hangzhou 310018, Zhejiang, China

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