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Recommending Potential R&D Partners Based on Patents |
Zhai Dongsheng, Guo Cheng(), Zhang Jie, Xia Jun |
School of Economics and Management, Beijing University of Technology, Beijing 100024, China |
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Abstract [Objective] This study presents a recommendation method based on patents to accurately identify potential R&D partners. [Methods] First, we extracted the functions, scientific impacts and functional effects of the related patents based on the TRIZ theory. Second, we constructed a patent technology tree, which was mapped with key information from the enterprise needs. Finally, we identified and evaluated the potential R&D partners in accordance with the patentee. [Results] We successfully assessed the retrieved R&D partners with the proposed method based on water heater related patents. [Limitations] The accuracy of semantic feature extraction needs to be improved. [Conclusions] The proposed method could find and evaluate the potential R&D partners for enterprises effectively.
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Received: 29 August 2016
Published: 20 April 2017
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