DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.date.accessioned2024-11-05T14:30:43Z-
dc.date.available2024-11-05T14:30:43Z-
dc.date.issued2017-
dc.identifiergoogle_scholar-vd7COBsAAAAJ:35r97b3x0nAC-
dc.identifier.issn2224-3488-
dc.identifier.othervd7COBsAAAAJ:35r97b3x0nAC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2864-
dc.description.abstractSeveral of the existing major social networking services such as Facebook and Twitter, recommend friends to their users based on social graphs analysis, or using simple friend recommendation algorithms such as similarity, popularity, or the “friend's friends are friends,” concept. However these approaches, even though intuitive and quick, they consider few of the characteristics of the social networks, while they are typically not the most appropriate ways to reflect a user’s preferences on friend selection in real life. To overcome these problems in this paper a novel scheme is proposed for recommending friends in social media, based on the analysis and vector mapping of online lifestyles. In particular for each user a vector is created that captures her/his online behavior. Then, in the simple case, vector matching is performed so that the top matches are selected as potential friends. In a more sophisticated case, the most similar profiles to the user under investigation are detected and a collaborative recommendations approach is proposed. Experimental results on real life data exhibit the promising performance of the proposed scheme.en_US
dc.language.isoenen_US
dc.relation.ispartofWSEAS Transactions on Signal Processingen_US
dc.sourceWSEAS Transactions on Signal Processing 13, 34-39, 2017-
dc.subjectFriends’ recommendationsen_US
dc.subjectSocial networksen_US
dc.subjectSocial life styleen_US
dc.subjectSocial computingen_US
dc.titleFriends’ recommendations in social networks: an online lifestyles approachen_US
dc.typeArticleen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume13en_US
dc.identifier.spage34en_US
dc.identifier.epage39en_US
dc.linkhttps://www.academia.edu/download/79247181/a1074506-109.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Articles / Άρθρα
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