Application of academic big data in the connection of enterprises and experts
| Autor: | Yongfeng ZHANG, Dongyun HUO, Zhenhua LI, Qiang ZHI, Yanxi LI |
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| Jazyk: | čínština |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | 大数据, Vol 5, Pp 2019043-1 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2096-0271 10038078 |
| DOI: | 10.11959/j.issn.2096-0271.2019043 |
| Popis: | Under the background of the innovation-driven strategy,the difficulties faced by enterprises and experts in universities in the process of connecting were analyzed.Based on academic big data technology,an expert data system for industrial fields was built and a full-chain transformation system for scientific and technological achievements was established.By collecting and verifying enterprise needs online,using scholars’ portrait technology to accurately match and push,enterprise experts offline was contacted,project management,risk assessment and technology insurance services were continued to provide.At present,the system has collected tens of thousands of enterprise needs,completed a number of projects with connection of enterprises and experts,improved the accuracy and efficiency of connecting,and achieved mutual benefit and win-win between enterprises and experts. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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