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Leveraging Social Interactions to Suggest Friends
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.ORCID iD: 0000-0003-3219-9598
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2013 (English)In: IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW), IEEE Computer Society, 2013, 386-391 p.Conference paper (Refereed)
Abstract [en]

Over the past decade Online Social Networks (OSNs) have made it possible for people to stay in touch with people they already know in real life; although, they have not been able to allow users to grow their personal social network. Existence of many successful dating and friend finder applications online today show the need and importance of such applications. In this paper, we describe an application that leverages social interactions in order to suggest people to users that they may find interesting. We allow users to expand their personal social network using their own interactions with other users on public pages and groups in OSNs. We finally evaluate our application by selecting a random set of users and asking them for their honest opinion.

Place, publisher, year, edition, pages
IEEE Computer Society, 2013. 386-391 p.
Keyword [en]
social networking (online), OSN, dating applications, friend finder applications, friend suggestion, online social networks, personal social network, social interactions, Communities, Context, Electronic mail, Facebook, Privacy, Silicon compounds, Social Networks
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-10891DOI: 10.1109/ICDCSW.2013.93ISBN: 978-1-4799-3247-4 (print)OAI: oai:DiVA.org:bth-10891DiVA: diva2:865142
Conference
33rd International Conference on Distributed Computing Systems Workshops (ICDCS 2013 Workshops), Philadelphia, PA, USA
Available from: 2015-10-27 Created: 2015-10-27 Last updated: 2015-10-27Bibliographically approved

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