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dc.contributor.author
Nalmpantis, Orestis
en
dc.date.accessioned
2017-04-24T15:14:03Z
dc.date.available
2017-04-25T00:00:13Z
dc.date.issued
2017-04-24
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/15259
dc.rights
Default License
dc.title
The 50/50 recommender: personality in movie recommender systems
en
heal.type
masterThesis
el
heal.keywordURI.LCSH
Recommender systems (Information filtering)
heal.keywordURI.LCSH
Personal communication service systems
heal.keywordURI.LCSH
Wireless communication systems
heal.keywordURI.LCSH
Expert systems (Computer science)
heal.keywordURI.LCSH
Expert systems (Computer science)--Software
heal.keywordURI.LCSH
Expert systems (Computer science)--Technological innovations
heal.keywordURI.LCSH
Selective dissemination of information
heal.language
en
el
heal.access
free
el
heal.license
http://creativecommons.org/licenses/by-nc/4.0
el
heal.recordProvider
School of Science and Technology, MSc in Information & Communication Technology Systems
el
heal.publicationDate
2017-01-01
heal.abstract
This dissertation was written as a part of the MSc in ICT Systems at the International Hellenic University. Its main goal is the examination of the role of human personality in Movie Recommender systems. We introduce the concept of combining collaborative techniques with a personality test so to provide more personalized movie recommendations. Previous research has shown some efforts to incorporate personality in Recommender systems, but no actual implementation has been attempted on a software level. Using a renowned movie dataset and the Big Five Personality test, we developed a system with Python that managed to improve the normal Movie Recommendation experience by 3.62%. The findings show that Personalization improves the user’s experience even though extra effort might be demanded. With further modifications and testing, we can come to the new age of recommender systems, where personality of the user is as important as it is in real life.
en
heal.advisorName
Tjortjis, Chistos
en
heal.committeeMemberName
Basilliades, Nick
en
heal.committeeMemberName
Berberidis, Christos
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
el
heal.numberOfPages
152
el


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