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Leveraging Social I...
Leveraging Social Interactions to Suggest Friends
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Nia, Roozbeh (författare)
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- Erlandsson, Fredrik, 1981- (författare)
- Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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- Johnson, Henric (författare)
- Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik
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Wu, S. Felix (författare)
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(creator_code:org_t)
- IEEE Computer Society, 2013
- 2013
- Engelska.
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Ingår i: IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW). - : IEEE Computer Society. - 9781479932474 ; , s. 386-391
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- 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
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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