An SNS-based model for finding collaborative partners

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An SNS-based model for finding collaborative partners

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Publication Article, peer reviewed scientific
Title An SNS-based model for finding collaborative partners
Author Yin, Chengjiu ; Yau, Jane Yin-Kim ; Hwang, Gwo-Jen ; Ogata, Hiroaki
Date 2017
English 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.
DOI https://doi.org/10.1007/s11042-015-2480-1 (link to publisher's fulltext.)
Publisher Springer
Host/Issue Multimedia Tools and Applications;9
Volume 76
ISSN 1380-7501
Language eng (iso)
Subject Social networking
Personal relationship
Collaboration
Search engine
Technology
Research Subject Categories::TECHNOLOGY
Handle http://hdl.handle.net/2043/23596 Permalink to this page
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