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What If Annotations Were Reusable: A Preliminary Discussion

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Advances in Web Based Learning – ICWL 2009 (ICWL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5686))

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Abstract

This paper discusses the rationale for the representation of user feedback in a structured and reusable format so that it can be reused by different recommender systems. We emphasize how information about the context can be included in such a representation. This work-in-progress takes place in the context of two large European initiatives that set up collections of digital educational resources in distributed repositories to serve the needs of different user communities, and to collect user feedback such as ratings, bookmarks and tags related to the resources. The overall aim is to facilitate the exchange and reuse of their data sets in order to support recommendation of appropriate resources to the end users.

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References

  1. Herlocker, J., Konstan, J.A., Riedl, J.: An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms. Information Retrieval 5 (2002)

    Google Scholar 

  2. Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems 22(1), 5–53 (2004)

    Article  Google Scholar 

  3. Vuorikari, R.: Can social information retrieval enhance the discovery and reuse of digital educational content? In: Proceedings of the 2007 ACM Conference on Recommender Systems. RecSys 2007, Minneapolis, MN, USA, October 19 - 20, 2007, pp. 207–210. ACM, New York (2007)

    Chapter  Google Scholar 

  4. AttentionXML: AttentionXML specifications (2004), http://developers.technorati.com/wiki/attentionxml (Retrieved June 8, 2007)

  5. Najjar, J., Wolpers, M., Duval, E.: Attention Metadata: Collection and Management. Paper presented at the World Wide Web 2006 Workshop Logging Traces of Web Activity: The Mechanics of Data Collection, Edinburgh, UK, May 23 (2006)

    Google Scholar 

  6. Vuorikari, R., Manouselis, N., Duval, E.: Using Metadata for Storing, Sharing, and Reusing Evaluations. In: Go, D.H., Foo, S. (eds.) Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively, pp. 87–107. Idea Group Publishing, Hershey (2008)

    Chapter  Google Scholar 

  7. Manouselis, N., Vuorikari, R., Van Assche, F.: Simulated Analysis of MAUT Collaborative Filtering for Learning Object Recommendation. In: Proc. of the Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL 2007), 2nd European Conference on Technology Enhanced Learning, Crete, Greece (2007)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Manouselis, N., Vuorikari, R. (2009). What If Annotations Were Reusable: A Preliminary Discussion. In: Spaniol, M., Li, Q., Klamma, R., Lau, R.W.H. (eds) Advances in Web Based Learning – ICWL 2009. ICWL 2009. Lecture Notes in Computer Science, vol 5686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03426-8_32

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  • DOI: https://doi.org/10.1007/978-3-642-03426-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03425-1

  • Online ISBN: 978-3-642-03426-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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