Recommending New Links in Social Networks Using Face Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089245" target="_blank" >RIV/61989100:27240/13:86089245 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SMAP.2013.13" target="_blank" >http://dx.doi.org/10.1109/SMAP.2013.13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SMAP.2013.13" target="_blank" >10.1109/SMAP.2013.13</a>
Alternative languages
Result language
angličtina
Original language name
Recommending New Links in Social Networks Using Face Recognition
Original language description
The main task of our work is to help a new user of a social network find new contacts. In the current situation mainly text data are used for these purposes. In our work we focus on information that is saved in images of the faces of potential users of asocial network. Since there are hundreds of photos from almost every user of a social network online, if we find a way to analyze them effectively then we can suggest to the user new contacts. These new contacts will be more relevant than these which come from current methods for friend suggestions. The experimental algorithm for the new way of suggestions is described in this paper. The algorithm uses tools that are freely available for any user, which was one of our main targets. The results of the testing show that our algorithm is successful during new contact suggestions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
8th International Workshop on Semantic and Social Media Adaptation and Personalization : SMAP 2013 : 12-13 December 2013, Bayonne, France : proceedings
ISBN
978-0-7695-5132-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
89-94
Publisher name
IEEE
Place of publication
Piscataway
Event location
Bayonne
Event date
Dec 12, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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