Study on online demand-supply matching of electric power technology based on technical field feature

Author:

Zhang Lihui1,Lu Wei2,Zhang Caiqing3

Affiliation:

1. Technology and Science Administration Office, North China Electric Power University, Baoding, Hebei, China

2. Engineering Design Consulting Branch, NARI Technology Co., Ltd, Nanjing, Jiangsu, China

3. Department of Economic Management, North China Electric Power University, Baoding, Hebei, China

Abstract

As the technical demand-supply text information increases rapidly in electric power technology transfer, traditional matching methods could no longer meet the need. To solve this problem, this paper proposed a new technical demand-supply matching method based on electric power technical field feature. First, the improved TF-IDF algorithm was used to extract technical field feature, then scientific and technological achievements with higher relevancy were retrieved based on technical field feature to build a background library of electric power technological achievements, and the matching degree of electric power technological achievements based on word vector was used to verify the matching efficiency of this method. We adopted the China smart grid technical transaction service platform and the text message of electric power technical demand and technological achievements on Keyi net for application, and the results indicate this method has raised the matching efficiency by 23.4% compared to traditional methods. In this paper, a new idea of taking technical field feature as the demand-supply matching basis of electric power technology transfer platform was proposed, which opens a new perspective for the research of demand-supply matching efficiency on electric power technology transfer platform, helps to promote the matching efficiency of technical demand and technological achievements, and further raises the success rate of electric power technology transfer.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference28 articles.

1. Study on relation of technology transfer method, independent R&D and technical efficiency of high-tech industry;Peng;Science of Science and Management of S&T.,2013

2. Study of shallow implicit knowledge demand-supply matching based on fuzzy case-based reasoning;Hu;Information studies: Theory & Application.,2016

3. Empirical study of patent technology transaction chance between S&T subjects based on ERGM;He;China Soft Science.,2018

4. The strategic management of technology: Integrating technology supply and demand perspectives;Brownlie;European Management Journal.,1980

5. Multi-satisfactory stable oriented two-sided matching decision-making method considering preference order;Liang;System Engineering Theory and Practice.,2015

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