Recommending New Links in Social Networks Using Face Recognition

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Recommending New Links in Social Networks Using Face Recognition

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Recommending New Links in Social Networks Using Face Recognition

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-08195S" target="_blank" >GA13-08195S: Vysoce škálovatelné paralelní a distribuované metody zpracování vědeckých dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

—

e-ISSN

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Počet stran výsledku

5

Strana od-do

89-94

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Bayonne

Datum konání akce

12. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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