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Implementing social media data in algorithms for estimating crowdedness in tourist's attractions
Linnaeus University, Faculty of Technology, Department of Media Technology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , 88 p.
Keyword [en]
Tourism, social media, navigation, data reliability, user experience, crowdedness, travel planning, tourist attractions, smart tourism, tourism technologies
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:lnu:diva-66075OAI: oai:DiVA.org:lnu-66075DiVA: diva2:1119357
Subject / course
Media Technology
Educational program
Social Media and Web Technologies, Master Programme, 120 credits
Presentation
2017-05-31, D2272, Vaxjo, 15:00 (English)
Supervisors
Examiners
Available from: 2017-07-04 Created: 2017-07-04 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

Polishuk_Master_Thesis(3793 kB)70 downloads
File information
File name FULLTEXT01.pdfFile size 3793 kBChecksum SHA-512
e54e6e896ba8c13f570283b82f4de206adddfb985012d7dacadd5c8c54614c770d0afa73eda84d7ff6acebff0c1d33e480cba4891845a30dfeeb25cde81e4fae
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf