DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorMastorakis, Nikolaos-
dc.date.accessioned2024-07-19T06:32:12Z-
dc.date.available2024-07-19T06:32:12Z-
dc.date.issued2019-09-01-
dc.identifierscopus-85049327819-
dc.identifier.isbn978-3-319-75604-2-
dc.identifier.isbn978-3-319-75605-9-
dc.identifier.issn1876-1119-
dc.identifier.issn1876-1100-
dc.identifier.other85049327819-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2744-
dc.description.abstractDuring the last decade Twitter has undergone a massive growth and several algorithms have been proposed for analysing its content. A common challenge is identifying user interests. In this work, we focus on personalizing the consumption of tweets by taking into consideration the tweets profile of each user (average tweet). In particular for each user an average vector is estimated that maps her/his interests. Then the distance between tweets that are posted on a user’s wall is estimated. In this process the average tweet is also considered. Finally a graph of tweets is constructed and the minimum distance path is estimated. Experimental results on real life data exhibit the advantages and limitations of the proposed scheme.en_US
dc.language.isoenen_US
dc.relation.ispartofApplied Physics, System Science and Computers II: Proceedings of the 2nd International Conference on Applied Physics, System Science and Computers (APSAC2017)en_US
dc.relation.ispartofseriesLecture Notes in Electrical Engineeringen_US
dc.subjectInformation pathen_US
dc.subjectInteger programmingen_US
dc.subjectPersonalizationen_US
dc.subjectTwitteren_US
dc.titleOptimal information paths in social media: Personalized consumption of tweetsen_US
dc.typeConference Paperen_US
dc.relation.conference2nd International Conference on Applied Physics, System Science and Computers (APSAC2017), 27–29 September 2017, Dubrovnik, Croatiaen_US
dc.identifier.doi10.1007/978-3-319-75605-9_19en_US
dc.identifier.scopus2-s2.0-85049327819-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage133en_US
dc.identifier.epage139en_US
dc.linkhttps://link.springer.com/content/pdf/10.1007/978-3-319-75605-9.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.openairetypeConference Paper-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
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:Book Chapter / Κεφάλαιο Βιβλίου
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