Credibility-based social network recommendation: Follow the leader

Al-Sharawneh, J; Williams, MA

Credibility-based social network recommendation: Follow the leader

Al-Sharawneh, J Williams, MA

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Publication Type:: Conference Proceeding
Citation:: ACIS 2010 Proceedings - 21st Australasian Conference on Information Systems, 2010
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Al-Sharawneh, J	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	ACIS 2010 Proceedings - 21st Australasian Conference on Information Systems, 2010	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16209
dc.description.abstract	In Web-based social networks (WBSN), social trust relationships between users indicate the similarity of their needs and opinions. Trust can be used to make recommendations on the web because trust information enables the clustering of users based on their credibility which is an aggregation of expertise and trustworthiness. In this paper, we propose a new approach to making recommendations based on leaders' credibility in the "Follow the Leader" model as Top-N recommenders by incorporating social network information into user-based collaborative filtering. To demonstrate the feasibility and effectiveness of "Follow the Leader" as a new approach to making recommendations, first we develop a new analytical tool, Social Network Analysis Studio (SNAS), that captures real data and used it to verify the proposed model using the Epinions dataset. The empirical results demonstrate that our approach is a significantly innovative approach to making effective collaborative filtering based recommendations especially for cold start users. © 2010 Al-Sharawneh & Williams.	en_US
dc.relation.ispartof	ACIS 2010 Proceedings - 21st Australasian Conference on Information Systems	en_US
dc.title	Credibility-based social network recommendation: Follow the leader	en_US
dc.type	Conference Proceeding
utslib.for	080603 Conceptual Modelling	en_US
dc.location.activity	Queensland University of Technology (QUT), Brisbane, QLD, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

In Web-based social networks (WBSN), social trust relationships between users indicate the similarity of their needs and opinions. Trust can be used to make recommendations on the web because trust information enables the clustering of users based on their credibility which is an aggregation of expertise and trustworthiness. In this paper, we propose a new approach to making recommendations based on leaders' credibility in the "Follow the Leader" model as Top-N recommenders by incorporating social network information into user-based collaborative filtering. To demonstrate the feasibility and effectiveness of "Follow the Leader" as a new approach to making recommendations, first we develop a new analytical tool, Social Network Analysis Studio (SNAS), that captures real data and used it to verify the proposed model using the Epinions dataset. The empirical results demonstrate that our approach is a significantly innovative approach to making effective collaborative filtering based recommendations especially for cold start users. © 2010 Al-Sharawneh & Williams.

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http://hdl.handle.net/10453/16209