Understanding the Role of Historical Context in a Point of Interest Recommendation System

Paulo Pombinho, Ana Paula Afonso, Maria Beatriz Carmo

2013

Abstract

The increasingly large quantities of points of interest make choosing between all the available information a painful task for the users. This limitation is aggravated by the reduced screen space of most mobile devices. To minimize these issues, it is fundamental that the information shown to the user is relevant, helping them in making good choices and decisions. We present a two phase evaluation of an adaptive degree of interest function that uses location and temporal contexts combined with the historical context of the previous searches to quantify the relevance of the points of interest shown to the user.

References

  1. Adomavicius, G., Kwon, Y., 2007. New Recommendation Techniques for Multi-Criteria Rating Systems. In Intelligent Systems, IEEE, 22 (3), 48-55.
  2. Adomavicius, G., Mobasher, B., Ricci, F., Tuzhilin, A., 2011. Context-Aware Recommender Systems. In AI Magazine, 32 (3), 67-80.
  3. Carmo, M. B., Afonso, A. P., Pombinho, P., Vaz, A., 2008. Visualization of Geographic Query Results for Small Screen Devices. In Proc. of the Visual 2008, LNCS 5188, 167-178.
  4. Heimonen, T., 2002. Information Visualization on Small Display Devices. Master Thesis. Department of Computer Sciences, University of Tampere.
  5. Holtzblatt, K., 2005. Designing for the Mobile Device: Experiences, Challenges and Methods. In Communications of the ACM, 48 (7), 33-35.
  6. Jannach, D., Karakaya, Z., Gedikli, F., 2012. Accuracy Improvements for Multi-Criteria Recommender Systems. In Proc. of the EC'12, 674-689.
  7. Pombinho, P., Carmo, M. B., Afonso, A. P., 2009. Evaluation of Overcluttering Prevention Techniques for Mobile Devices. In Proc. of the IV'09, 127-134.
  8. Pombinho, P., Carmo, M. B., Afonso, A. P., 2012. Context Aware Point of Interest Adaptive Recommendation. In Proc. of the CARR 2012 workshop, in Conjunction with IUI 2012.
  9. Reichenbacher, T., 2008. Mobile Usage and Adaptive Visualization. Encyclopedia of GIS. Part 16. Heidelberg: Springer Verlag, 677-682.
Download


Paper Citation


in Harvard Style

Pombinho P., Afonso A. and Carmo M. (2013). Understanding the Role of Historical Context in a Point of Interest Recommendation System . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 537-541. DOI: 10.5220/0004276305370541


in Bibtex Style

@conference{ivapp13,
author={Paulo Pombinho and Ana Paula Afonso and Maria Beatriz Carmo},
title={Understanding the Role of Historical Context in a Point of Interest Recommendation System},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013)},
year={2013},
pages={537-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004276305370541},
isbn={978-989-8565-46-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013)
TI - Understanding the Role of Historical Context in a Point of Interest Recommendation System
SN - 978-989-8565-46-4
AU - Pombinho P.
AU - Afonso A.
AU - Carmo M.
PY - 2013
SP - 537
EP - 541
DO - 10.5220/0004276305370541