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User interest modelling and recommendation algorithm for the future interactive television
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2007 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

The goal of this research is to develop effective learning algorithms that will predict the viewers viewing pattern, retrieve the related tv-event on the basis of viewer viewing pattern that could be useful for recommender system of interactive TV. An efficient data model for electronic program guide (EPG) has been proposed which will be beneficial for overall system. We have performed some experiments to show the validity of our system.

Place, publisher, year, edition, pages
Borlänge, 2007. , p. 63
Keywords [en]
Digital interactive TV, EPG, Recommender system, learning algorithms, user profile, vector space model.
Identifiers
URN: urn:nbn:se:du-3029OAI: oai:dalea.du.se:3029DiVA, id: diva2:518326
Uppsok
Technology
Supervisors
Available from: 2007-12-13 Created: 2007-12-13 Last updated: 2012-04-24Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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
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  • asciidoc
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