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Research on the Trend Prediction Model of Online Technology Transaction and its Application |
Hu Kai1,Zhu Xuezhong1,Wang Yi2,Zhen Chunjie2 |
(1. Shanghai International College of Intellectual Property,Tongji University,Shanghai 200092,China;2. Dawei Computer Software Development Co.,Ltd,Baoding 071000,China) |
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Abstract Online technology transaction platform can improve the management level of technology information and the operation efficiency of online technology marketplace through the prediction of transaction trend and identification of trading potential. Based on the theory of online technology marketplaces and patent information analysis,it put forward the analysis index of online technology transaction trend prediction,and constructed the prediction model and related process methods. It also took the online listing patent data of Guangzhou intellectual property trading center as an example to carry out quantitative measurement and evaluation analysis. The results show that the technology transaction trend prediction model and process proposed in this study have applicability and operability. It can analyze the technology resources of online platform,determine the different prediction types and their key impact indicators,and establish an analysis system based on technology field classification. The research results can provide reference for the design of technology information management strategy based on its own characteristics and the improvement of information service specialization.
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Received: 15 January 2020
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