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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)
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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.
Keywords
mobile computing, Bayes methods, mobile handsets, recommender systems, user interfaces

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Citation

Please use this url to cite or link to this publication:

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.
@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},
}

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