Advertisement

New Generation Computing

, Volume 26, Issue 3, pp 205–208 | Cite as

Web-based Recommendation Systems Technologies and Applications

  • Janusz SobeckiEmail author
Preface
  • 134 Downloads

Keywords

Recommender System Collaborative Filter Link Prediction Recommender Agent Purchase Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Chen, L., Hsu, F., Chen, M., Hsu, Y., “Developing recommender systems with the consideration of product profitability for sellers,” Information Sciences 178, 4, pp. 1032-1048, 2008.CrossRefGoogle Scholar
  2. 2.
    Kobsa, A., Koenemann, J., Pohl, W., “Personalized Hypermedia Presentation Techniques for Improving Online Customer Relationships,” The Knowledge Eng. Review 16, 2, pp. 111-155, 2001.zbMATHCrossRefGoogle Scholar
  3. 3.
    Montaner, M., Lopez, B., De La Rosa, J.L., “A Taxonomy of Recommender Agents on the Internet,” Artificial Intelligence Review 19, pp. 285-330, 2003.CrossRefGoogle Scholar
  4. 4.
    Sobecki, J., “Consensus-based hybrid adaptation of web systems user interfaces,” Journal of Universal Computer Science 11, 2, pp. 250-270, 2005.Google Scholar

Copyright information

© Ohmsha, Ltd. 2008

Authors and Affiliations

  1. 1.Wroclaw University of TechnologyWroclawPoland

Personalised recommendations