文献详情
Recommendation Mechanism for Patent Trading Empowered by Heterogeneous Information Networks
文献类型：期刊
通讯作者：Du, W (reprint author), Renmin Univ, Sch Informat, Beijing, Peoples R China.
期刊名称：INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE影响因子和分区
年：2019
卷：23
期：2
页码：147-178
ISSN：1086-4415
关键词：Heterogeneous information networks; patent recommendation; patent trading; recommendation systems; recommenders
所属部门：信息学院
摘要：The emerging patent trading platforms help to ease information asymmetry and trust issues during transaction, but a proactive recommendation mechanism that intelligently helps patent buyers identify relevant patents is still absent in the literature. This study proposes a recommendation mechanism for patent trading empowered by heterogeneous information networks (HIN) that integrates various patent information such as patent trading, patent invention, patent citation, patent ontology, and patent ...More
The emerging patent trading platforms help to ease information asymmetry and trust issues during transaction, but a proactive recommendation mechanism that intelligently helps patent buyers identify relevant patents is still absent in the literature. This study proposes a recommendation mechanism for patent trading empowered by heterogeneous information networks (HIN) that integrates various patent information such as patent trading, patent invention, patent citation, patent ontology, and patent contents. Further, the meta-path-based similarity measure (i.e., AvgSim) is employed to calculate relevance and identify the different motivations of potential buyers in buying patents. We conducted two experiments to examine the performance of a proposed mechanism. An offline experiment on Public PatentsView database and Patent Assignment database show that the HIN-empowered recommendation outperforms baseline methods. We also implemented the proposed mechanism on a real-world trading platform (). The recommendation function achieves satisfying results by tracking users' feedback, which further validates the usability of HIN-empowered recommendation in a patent trading context. ...Hide

DOI：10.1080/10864415.2018.1564549
百度学术：Recommendation Mechanism for Patent Trading Empowered by Heterogeneous Information Networks
语言：外文
人气指数：1
浏览次数：1
基金：National Natural Science Foundation of ChinaNational Natural Science Foundation of China [M155200003, 71371164, 91546119]; CityU Research Grant [9620365, 7004715, 7004528, 9680121]; Renmin University of China [18XNLG03]; Ministry of Education [18YJC630025]
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Recommendation Mechanism for Patent Trading Empowered by Heterogeneous Information Networks.Wang, Qi, Du, Wei, Ma, Jian, et al. .INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE. 2019, 23(2), 147-178.
A social recommendation system for academic collaboration in undergraduate research.Liu, Yang, Yang, Chen, Ma, Jian, et al. .EXPERT SYSTEMS. 2019, 36(2).
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