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Leveraging Social Interactions to Suggest Friends

Nia, Roozbeh (author)
Erlandsson, Fredrik, 1981- (author)
Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
Johnson, Henric (author)
Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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Wu, S. Felix (author)
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 (creator_code:org_t)
IEEE Computer Society, 2013
2013
English.
In: IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW). - : IEEE Computer Society. - 9781479932474 ; , s. 386-391
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

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

Publication and Content Type

ref (subject category)
kon (subject category)

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