A SNS-based model for finding collaborative partners

Yin, Chengjiu ; Yau, Jane Yin-Kim ; Hwang, Gwo-Jen ; Ogata, Hiroaki

DOI: https://doi.org/10.1007/s11042-015-2480-1
URL: https://link.springer.com/article/10.1007/s11042-0...
Additional URL: https://www.researchgate.net/publication/276306969...
Document Type: Article
Year of publication: 2017
The title of a journal, publication series: Multimedia Tools and Applications
Volume: 76
Issue number: 9
Page range: 11531-11545
Place of publication: Dordrecht [u.a.]
Publishing house: Springer Science + Business Media
ISSN: 1380-7501 , 1573-7721
Publication language: English
Institution: Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Subject: 004 Computer science, internet
Abstract: This paper proposes a model, Recommendation of Appropriate Partners (RAP), used on a Social Networking Service (SNS) for locating appropriate “helpers” for users based on individual users’ Chain of Friends (CoF) relationships. Using the RAP model, individual users can participate in a collaborative online community in remote locations, whereby helpers are willing to help other users solve their tasks/problems, and it is intended that both the users and helpers gain knowledge from these interactive online sessions. An example of the RAP-based system was implemented to invite Program Committee members to an international conference. The system was evaluated and the experimental results show that our model is very effective for discovering collaboration partners and finding users with similar interests in order to create communities for providing future and longer-term helping exchange.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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