CiteExportLink to record
Permanent link

Direct link
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
Creating a model for providing personal travel recommendations: Predicting the destination from the commuter search history
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. (Gabriella Stenlund)
Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
2020 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Following the recent surge of implementations of various recommender systems, this study applied the technique of collaborative filtering to the area of commuting in the system of public transportation. This study processed and analyzed commuter search patterns collected from the travel planning mobile application MobiTime. The purpose of this study was to see how collaborative filtering can be applied on search history to predict the commuter non-routine destination. By creating and providing a model with varying sizes of routine routes (history from the commuters), the accuracy of the model was measured based on that history. The study found that the accuracy is varying with the history provided by the commuter and that the method described in the study outperformed the baseline. The result of this study could make the commuting experience more efficient.

Place, publisher, year, edition, pages
2020. , p. 34
Keywords [en]
Machine learning, collaborative filtering, predicting journeys, public transport, commuting, the commuter, recommendation system, data analysis, predictive statistics
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hj:diva-47605ISRN: JU-JTH-DTA-1-20200092OAI: oai:DiVA.org:hj-47605DiVA, id: diva2:1390020
External cooperation
Infospread Euro AB
Subject / course
JTH, Computer Engineering
Supervisors
Examiners
Available from: 2020-02-06 Created: 2020-01-30 Last updated: 2020-02-06Bibliographically approved

Open Access in DiVA

fulltext(1106 kB)12 downloads
File information
File name FULLTEXT01.pdfFile size 1106 kBChecksum SHA-512
2b3b98016cabc2a6ecd12b1036414472de6633738649acc08201341ecc13a2c4ef3d04cbc4df63b82c5533a73a1e274115405a1a2745fdfd12dddd5dcd94b749
Type fulltextMimetype application/pdf

By organisation
JTH, Computer Science and Informatics
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 12 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 57 hits
CiteExportLink to record
Permanent link

Direct link
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