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Applying Parameter Priority for User Recommendations Concerning Movies and Documentaries: User Behavior Prediction
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

An area where algorithms are used in order to optimize prediction of what users prefer in di↵erent market areas. By modifying algorithms that has already been made, one can improve the accuracy of the predictions made. The purpose of this study was to find out if existing behavioral prediction algorithms can be improved by taking certain parameters into consideration. This was achieved by conducting a survey where users could vote on what parameters they take into consideration when chosing a movie to watch. Once having the important parameters, a modification was made to an existing algorithm so that a comparison in di↵erences was possible. The results were clear and indicated that the modification was very data-reliant and therefore not optimal for every situation. 

Place, publisher, year, edition, pages
2016.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-186455OAI: oai:DiVA.org:kth-186455DiVA: diva2:927348
Supervisors
Examiners
Available from: 2016-05-12 Created: 2016-05-11 Last updated: 2016-05-12Bibliographically approved

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fulltext(1326 kB)111 downloads
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CiteExportLink to record
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Citation style
  • apa
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Output format
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