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Extending the Bayesian classifier to a context-aware recommender system for mobile devices

Toon De Pessemier UGent, Tom Deryckere UGent and Luc Martens UGent (2010) Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010). p.242-247
abstract
Mobile devices that are capable of playing Internet videos have become wide-spread in recent years. Because of the enormous offer of video content, the lack of sufficient presentation space on the screen, and the laborious navigation on mobile devices, the video consumption process becomes more complicated for the end-user. To handle this problem, people need new instruments to assist with the hunting, filtering and selection process. We developed a methodology for mobile devices that makes the huge content sources more manageable by creating a user profile and personalizing the offer. This paper reports the structure of the user profile, the user interaction mechanism, and the recommendation algorithm, an improved version of the Bayesian classifier that incorporates aspects of the consumption context (like time, location, and mood of the user) to make the suggestions more accurate.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (conferencePaper)
publication status
published
subject
keyword
mobile computing, Bayes methods, mobile handsets, recommender systems, user interfaces
in
Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010)
editor
Ortiz Bellot, H Sasaki, M Ehmann and C Dini
pages
242 - 247
publisher
IEEE Computer Society
place of publication
Los Alamitos, CA, USA
conference name
5th International conference on Internet and Web Applications and Services (ICIW 2010)
conference location
Barcelona, Spain
conference start
2010-05-09
conference end
2010-05-15
Web of Science type
Conference Paper
Web of Science id
11360213
ISBN
9780769540221
9781424467280
DOI
10.1109/ICIW.2010.43
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1168458
handle
http://hdl.handle.net/1854/LU-1168458
date created
2011-02-24 11:12:27
date last changed
2017-01-02 09:52:28
@inproceedings{1168458,
  abstract     = {Mobile devices that are capable of playing Internet videos have become wide-spread in recent years. Because of the enormous offer of video content, the lack of sufficient presentation space on the screen, and the laborious navigation on mobile devices, the video consumption process becomes more complicated for the end-user. To handle this problem, people need new instruments to assist with the hunting, filtering and selection process. We developed a methodology for mobile devices that makes the huge content sources more manageable by creating a user profile and personalizing the offer. This paper reports the structure of the user profile, the user interaction mechanism, and the recommendation algorithm, an improved version of the Bayesian classifier that incorporates aspects of the consumption context (like time, location, and mood of the user) to make the suggestions more accurate.},
  author       = {De Pessemier, Toon and Deryckere, Tom and Martens, Luc},
  booktitle    = {Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010)},
  editor       = {Bellot, Ortiz and Sasaki, H and Ehmann, M and Dini, C},
  isbn         = {9780769540221},
  keyword      = {mobile computing,Bayes methods,mobile handsets,recommender systems,user interfaces},
  language     = {eng},
  location     = {Barcelona, Spain},
  pages        = {242--247},
  publisher    = {IEEE Computer Society},
  title        = {Extending the Bayesian classifier to a context-aware recommender system for mobile devices},
  url          = {http://dx.doi.org/10.1109/ICIW.2010.43},
  year         = {2010},
}

Chicago
De Pessemier, Toon, Tom Deryckere, and Luc Martens. 2010. “Extending the Bayesian Classifier to a Context-aware Recommender System for Mobile Devices.” In Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010), ed. Ortiz Bellot, H Sasaki, M Ehmann, and C Dini, 242–247. Los Alamitos, CA, USA: IEEE Computer Society.
APA
De Pessemier, T., Deryckere, T., & Martens, L. (2010). Extending the Bayesian classifier to a context-aware recommender system for mobile devices. In O. Bellot, H. Sasaki, M. Ehmann, & C. Dini (Eds.), Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010) (pp. 242–247). Presented at the 5th International conference on Internet and Web Applications and Services (ICIW 2010), Los Alamitos, CA, USA: IEEE Computer Society.
Vancouver
1.
De Pessemier T, Deryckere T, Martens L. Extending the Bayesian classifier to a context-aware recommender system for mobile devices. In: Bellot O, Sasaki H, Ehmann M, Dini C, editors. Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010). Los Alamitos, CA, USA: IEEE Computer Society; 2010. p. 242–7.
MLA
De Pessemier, Toon, Tom Deryckere, and Luc Martens. “Extending the Bayesian Classifier to a Context-aware Recommender System for Mobile Devices.” Proceedings of the Fifth International Conference on Internet and Web Applications and Services (ICIW 2010). Ed. Ortiz Bellot et al. Los Alamitos, CA, USA: IEEE Computer Society, 2010. 242–247. Print.