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Sustainable Collaborator Recommendation Based on Conference Closure
Wang,Wei1,2; Liu,Jiaying1; Yang,Zhuo1; Kong,Xiangjie1; Xia,Feng1
2019-04-01
Source PublicationIEEE Transactions on Computational Social Systems
Volume6Issue:2Pages:311-322
AbstractIt is always difficult for researchers to find a new collaborator due to the academic information overload. Although several scientific collaborator recommendation systems have been proposed, most existing methods cannot meet scholars' requirements comprehensively due to the neglect of sustainable collaborations in their schemes. Studies have shown that a sustainable collaboration has a significant positive impact on the productivity and influence for a researcher. To address this problem, we develop a sustainable collaborator recommendation (SCORE) system by utilizing the weak tie relationships brought by academic conferences for SCORE. Through defining and quantifying the conference closure, we incorporate the conference coattending relationships into collaborator recommendation system inspired by the principles of 'diversified recommendation.' The experimental results on attendees of ten academic conferences show that the SCORE outperforms state-of-the-art collaborator recommendation systems in accuracy and sustainability. Our model can be used to improve the sociability of academic conferences by recommending sustainable collaborators to conference attendees.
KeywordAcademic information retrieval collaboration recommendation scientific collaboration
DOI10.1109/TCSS.2019.2898198
URLView the original
Language英语
Scopus ID2-s2.0-85063947247
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Cited Times [WOS]:12   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorKong,Xiangjie
Affiliation1.Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province,School of Software,Dalian University of Technology,Dalian,116620,China
2.Department of Computer and Information Science,Faculty of Science and Technology,University of Macau,999078,Macao
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Wang,Wei,Liu,Jiaying,Yang,Zhuo,et al. Sustainable Collaborator Recommendation Based on Conference Closure[J]. IEEE Transactions on Computational Social Systems,2019,6(2):311-322.
APA Wang,Wei,Liu,Jiaying,Yang,Zhuo,Kong,Xiangjie,&Xia,Feng.(2019).Sustainable Collaborator Recommendation Based on Conference Closure.IEEE Transactions on Computational Social Systems,6(2),311-322.
MLA Wang,Wei,et al."Sustainable Collaborator Recommendation Based on Conference Closure".IEEE Transactions on Computational Social Systems 6.2(2019):311-322.
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