Skip to main content

Modeling the Multiple People That Are Me

  • Conference paper
  • First Online:
User Modeling 2003 (UM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2702))

Included in the following conference series:

Abstract

A new approach is outlined in which group modeling techniques are used to model an individual user. This helps to reduce cold-start problems, and allows aggregating multiple criteria.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Masthoff J. and Luckin, R. (Eds.) (2002). Proceedings of the workshop Future TV: Adaptive instruction in your living room, San Sebastian.

    Google Scholar 

  2. Ardissono, L., and Faihe Y. (Eds.). (2001). Proceedings of the first workshop on Personalization in Future TV, Sonthofen.

    Google Scholar 

  3. Masthoff J. (2002). Modeling a group of television viewers. In [1], pp. 34–42.

    Google Scholar 

  4. Masthoff, J. (2002). Group modeling: Selecting a sequence of television items to suit a group of viewers. Unpublished manuscript submitted to journal.

    Google Scholar 

  5. Pazzani, M.J. (1999). A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13, pp. 393–408.

    Article  Google Scholar 

  6. Nguyen, H., and Haddawy, P. (1998). The decision-theoretic video advisor. Proceedings of AAAI Workshop on Recommender Systems. pp. 76–80.

    Google Scholar 

  7. Rashid, A.M., Albert, I., Cosley, D., Lam, S.K., McNee, S.M., Konstan, J.A., and Riedl, J. (2002). Getting to know you: Learning new user preferences in recommender systems. Proceedings of the Intelligent User Interface conference. pp. 127–134.

    Google Scholar 

  8. Gena, C. and Ardissono, L. (2001). On the construction of TV viewer stereotypes starting from lifestyle surveys. In Faihe Y. (Eds.). (2001). Proceedings of the first workshop on Personalization in Future TV, Sonthofen [2]}.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Masthoff, J. (2003). Modeling the Multiple People That Are Me. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_34

Download citation

  • DOI: https://doi.org/10.1007/3-540-44963-9_34

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40381-4

  • Online ISBN: 978-3-540-44963-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics