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Connecting Researchers with Companies for University-Industry Collaboration

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Title:Connecting Researchers with Companies for University-Industry Collaboration
Authors:Wang, Qi
Ma, Jian
Liao, Xiuwu
Deng, Weiwei
Zhang, Mingyu
Keywords:expert finding
researcher recommendation systems
social network
social proximity
univeristy-industry collaboration
Date Issued:04 Jan 2017
Abstract:Nowadays, companies are spending more time and money to enhance their innovation ability to respond to the increasing market competition. The pressure makes companies seek help from external knowledge, especially those from academia. Unfortunately, there is a gap between knowledge seekers (companies) and suppliers (researchers) due to the scattered and asymmetric information. To facilitate shared economy, various platforms are designed to connect the two parties. In this context, we design a researcher recommendation system to promote their collaboration (e.g. patent license, collaborative research, contract research and consultancy) based on a research social network with complete information about both researchers and companies. In the recommendation system, we evaluate researchers from three aspects, including expertise relevance, quality and trustworthiness. The experiment result shows that our system performs well in recommending suitable researchers for companies. The recommendation system has been implemented on an innovation platform, InnoCity. \
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Decision Support for Smart City and Digital Services Minitrack

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