Scholar-friend recommendation in online academic communities : An approach based on heterogeneous network

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationICIS 2018 Proceedings
PublisherAssociation for Information Systems
ISBN (Print)978-0-9966831-7-3
Publication statusPublished - Dec 2018

Publication series

NameInternational Conference on Information Systems 2018, ICIS 2018

Conference

Title39th International Conference on Information Systems (ICIS 2018)
LocationSan Francisco Marriott Marquis
PlaceUnited States
CitySan Francisco
Period13 - 16 December 2018

Abstract

As a particular type of social networking site, online academic communities have revolutionized the way researchers collaborate and communicate with each other. With the growth of the number of users registered on online academic communities, the information overload problem presents a great challenge for researchers to find relevant and reliable friends there. To differentiate from friends in conventional social networking sites, friends in online academic community are named as scholar-friends in this research. Scholar-friend recommendation in online academic communities involves different entities (e.g., researchers, research articles, affiliations, research interests and status updates) and various relationships among entities (e.g., scholar-friend relationship of researchers, post relationship between researchers and status updates, and writing relationship between researchers and papers), which constitute a complex heterogeneous network. By leveraging the entity and relationship data in online academic community, this research proposes a heterogeneous network based approach to recommend scholar-friends where information gain is used to identify valuable meta paths and a regularization based optimization is employed to make personalized recommendation for each individual researcher.

Research Area(s)

  • Expert recommendation, Friend recommendation, Heterogeneous network, Network analysis, Online academic community, Scholar-friend recommendation

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Scholar-friend recommendation in online academic communities : An approach based on heterogeneous network. / Xu, Yunhong; Zhou, Duanning; Ma, Jian.

ICIS 2018 Proceedings . Association for Information Systems, 2018. (International Conference on Information Systems 2018, ICIS 2018).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review