%A Zhai Dongsheng,Guo Cheng,Zhang Jie,Xia Jun %T Recommending Potential R&D Partners Based on Patents %0 Journal Article %D 2017 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2017.03.02 %P 10-20 %V 1 %N 3 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4326.shtml} %8 2017-03-25 %X

[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.