DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ntalianis, Klimis | - |
dc.contributor.author | Mastorakis, Nikolaos | - |
dc.date.accessioned | 2024-07-19T06:32:12Z | - |
dc.date.available | 2024-07-19T06:32:12Z | - |
dc.date.issued | 2019-09-01 | - |
dc.identifier | scopus-85049327819 | - |
dc.identifier.isbn | 978-3-319-75604-2 | - |
dc.identifier.isbn | 978-3-319-75605-9 | - |
dc.identifier.issn | 1876-1119 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.other | 85049327819 | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2744 | - |
dc.description.abstract | During 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.iso | en | en_US |
dc.relation.ispartof | Applied Physics, System Science and Computers II: Proceedings of the 2nd International Conference on Applied Physics, System Science and Computers (APSAC2017) | en_US |
dc.relation.ispartofseries | Lecture Notes in Electrical Engineering | en_US |
dc.subject | Information path | en_US |
dc.subject | Integer programming | en_US |
dc.subject | Personalization | en_US |
dc.subject | en_US | |
dc.title | Optimal information paths in social media: Personalized consumption of tweets | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | 2nd International Conference on Applied Physics, System Science and Computers (APSAC2017), 27–29 September 2017, Dubrovnik, Croatia | en_US |
dc.identifier.doi | 10.1007/978-3-319-75605-9_19 | en_US |
dc.identifier.scopus | 2-s2.0-85049327819 | - |
dcterms.accessRights | 0 | en_US |
dc.relation.dept | Department of Business Administration | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.identifier.spage | 133 | en_US |
dc.identifier.epage | 139 | en_US |
dc.link | https://link.springer.com/content/pdf/10.1007/978-3-319-75605-9.pdf | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | not verified | en_US |
item.openairetype | Conference Paper | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Business Administration | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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