Leveraging Trust Relations to Improve Academic Patent Recommendation

dc.contributor.author Chen, Yuwen
dc.contributor.author Ma, Jian
dc.contributor.author Zhu, Peihu
dc.contributor.author Huang, Xiaoming
dc.contributor.author Jin, Qin
dc.date.accessioned 2021-12-24T17:29:06Z
dc.date.available 2021-12-24T17:29:06Z
dc.date.issued 2022-01-04
dc.description.abstract Academic patent trading is one of the important ways for university technology transfer. Compared to industry patent trading, academic patent trading suffers from a more serious information asymmetric problem. It needs a recommendation service to help companies identify academic patents that they want to pay. However, existing recommendation approaches have limitations in facilitating academic patent trading in online patent platforms because most of them only consider patent-level characteristics. A high trust degree of a company towards academic patents can alleviate the information asymmetry and encourage trading. This study proposes a novel academic patent recommendation approach with a hybrid strategy, combining citation-based relevance, connectivity, and trustworthiness. An offline experiment is conducted to evaluate the performance of the proposed recommendation approach. The results show that the proposed method performs better than the baseline methods in both accuracy and ranking.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.171
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79503
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Decision Support for Smart City
dc.subject hybrid recommendation
dc.subject patent recommendation
dc.subject patent trading
dc.subject trust
dc.subject university technology transfer
dc.title Leveraging Trust Relations to Improve Academic Patent Recommendation
dc.type.dcmi text
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