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Collaborative Radio Community

  • Conference paper
  • First Online:
Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2347))

Abstract

Recommender systems have been usually designed to support a single user in a one-to-one relation between a human and a service provider. This paper presents a collaborative radio community where the system delivers a personalization service on the fly, on the basis of the group recommending, promoting a shift from the one-to-one approach to a one-to-group scenario where the goal is assisting people in forming communities.

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References

  1. S. Aguzzoli, P. Avesani, and P. Massa. Compositional CBR via Collaborative Filtering. In ICCBR’01 Workshop on CBR in Electronic Commerce, Vancouver-Canada, 2001.

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  2. William W. Cohen, Robert E. Schapire, and Yoram Singer. Learning to Order Things. In Michael I. Jordan, Michael J. Kearns, and Sara A. Solla, editors, Advances in Neural Information Processing Systems, volume 10. The MIT Press, 1998.

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  3. Y. Freud, R. Iyer, R. Schapire, and Y. Singer. An Efficient Boosting Algorithm for Combining Preferences, 1998.

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  4. Y. Freund and R. Schapire. A Short Introduction to Boosting, 1999.

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  5. L. Gong. Project JXTA: A Technology Overview, 2001.

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  6. C. Hayes and P. Cunningham. Smart radio: Building music radio on the fly, 2000.

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  7. Loren Terveen and Will Hill. HCI In The New Millenium, chapter Beyond Recommender Systems: Helping People Help Each Other. Addison-Wesley, 2001.

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© 2002 Springer-Verlag Berlin Heidelberg

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Avesani, P., Massa, P., Nori, M., Susi, A. (2002). Collaborative Radio Community. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_61

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  • DOI: https://doi.org/10.1007/3-540-47952-X_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43737-6

  • Online ISBN: 978-3-540-47952-9

  • eBook Packages: Springer Book Archive

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