Towards a comprehensive requirements architecture for privacy-aware social recommender systems

Chen, S; Williams, MA

Towards a comprehensive requirements architecture for privacy-aware social recommender systems

Chen, S Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Conferences in Research and Practice in Information Technology Series, 2010, 110 pp. 33 - 41
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Chen, S	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	Conferences in Research and Practice in Information Technology Series, 2010, 110 pp. 33 - 41	en_US
dc.identifier.isbn	9781920682927	en_US
dc.identifier.issn	1445-1336	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16231
dc.description.abstract	Social recommendations have been rapidly adopted as important components in social network sites. How-ever, they assume a cooperative relationship between parties involved. This assumption can lead to the creation of privacy issues and new opportunities for privacy infringements. Traditional recommendation techniques fail to address these issues, and as a con-sequence the development of privacy-aware coopera-tive social recommender systems give rise to an im-portant research gap. In this paper we identify key problems that arise from the privacy dimension of so-cial recommendations and propose a comprehensive requirements architecture for building privacy-aware cooperative social recommender systems. Copyright © 2010, Australian Computer Society, Inc.	en_US
dc.relation.ispartof	Conferences in Research and Practice in Information Technology Series	en_US
dc.title	Towards a comprehensive requirements architecture for privacy-aware social recommender systems	en_US
dc.type	Conference Proceeding
utslib.citation.volume	110	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
dc.location.activity	Brisbane, 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 Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
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
pubs.volume	110	en_US

Abstract:

Social recommendations have been rapidly adopted as important components in social network sites. How-ever, they assume a cooperative relationship between parties involved. This assumption can lead to the creation of privacy issues and new opportunities for privacy infringements. Traditional recommendation techniques fail to address these issues, and as a con-sequence the development of privacy-aware coopera-tive social recommender systems give rise to an im-portant research gap. In this paper we identify key problems that arise from the privacy dimension of so-cial recommendations and propose a comprehensive requirements architecture for building privacy-aware cooperative social recommender systems. Copyright © 2010, Australian Computer Society, Inc.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/16231