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Ranking hotels for recommendation via generalized linear mixed model and Box-Cox model: A case of Stockholm rating data from booking.com
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis is aimed at recommending suitable hotels to the customers using the data collected from the website booking.com. In this thesis, data from Stockholm is chosen as an example, and statistical modeling is applied. We propose recommended hotels based on their rankings in terms of the scores of the hotels. The ranking score is derived by using eneralized linear mixed models. Box-Cox transformation is applied further to improve the previous analysis. Separate group analysis indicates that the ranks between different reviewer groups are significantly different. Model evaluation is executed via Cross-validation method by calculating the classification accuracies for all models. The best model is found based on theclassification accuracy, and we recommend the top 10, top 15 and top 20 hotels from the best model in this thesis.

Place, publisher, year, edition, pages
2014.
Keyword [en]
recommendation system, generalized linear mixed model, Box-Cox
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:du-15515OAI: oai:DiVA.org:du-15515DiVA: diva2:746249
Supervisors
Examiners
Available from: 2014-09-23 Created: 2014-09-12 Last updated: 2014-09-23Bibliographically approved

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CiteExportLink to record
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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
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Output format
  • html
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  • asciidoc
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