Skip to main content

Indexing and Profiling in a Consumer Movies Catalog Browsing Tool

  • Conference paper
Ambient Intelligence (EUSAI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2875))

Included in the following conference series:

  • 701 Accesses

Abstract

This paper discusses the benefits of both indexing and classification techniques combined with natural user interfaces for building consumer browsing tools. It focuses on text indexing and classification techniques used for user profiling.

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. Manning, C.D., Schutze, H.: Foundations of statistical Natural Language Processing. The MIT Press, Cambridge (1999)

    MATH  Google Scholar 

  2. Felbaum, C.: Wordnet, an electronic lexical database. The MIT Press, Cambridge (1998)

    Google Scholar 

  3. Hirsh, H., Basu, C., Davison, B.D.: Learning to personalize, Recognizing patterns of behavior helps systems predict your next move. Communications of the ACM 43(8), 102–106 (2000)

    Article  Google Scholar 

  4. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based Collaborative Filtering Recommendation Algorithms. GroupLens Research Group/Army HPC Research Center, Departement of Computer Science and Engineering, University of Minnesota, Appears in WWW10, Hong-Kong, May 1-5 (2001)

    Google Scholar 

  5. Basu, C., Hirsh, H., Cohen, W.W.: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. In: AAAI 1998, Proceedings of the Fifteeth National Conference on Artifical Intelligence, AAAI Press, Menlo Park (1998)

    Google Scholar 

  6. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In: Proceedings of CSCW 1994, Chapel Hill, NC (1994)

    Google Scholar 

  7. Karypis, G.: University of Minnesota, Department of Computer Science/Army HPC research Center, Minneapolis, MN 55455, Technical Report #00-046: Evaluation of Item-Based Top-N Recommendation Algorithms

    Google Scholar 

  8. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)

    MATH  Google Scholar 

  9. Vapnik, V.: Statistical Learning Theory. Wiley, Chichester (1998)

    MATH  Google Scholar 

  10. Porter, M.F.: An algorithm for suffix stripping. Program 14(3), 130–137

    Google Scholar 

  11. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001)

    Google Scholar 

  12. Forthofer, R., Vigouroux, J.-R., Chevallier, L., Le Mener, Y.: Thomson Multimedia Corporate Research. Presentation of a VOD content-based recommender system, Ambience Workshop, Torino (September 2002)

    Google Scholar 

  13. Sebastiani, F.: Consiglio Nazionale delle Ricerche, Italy, Machine Learning in Automated Text Categorization. ACM Computing Surveys 34(1), 1–47 (2002)

    Article  Google Scholar 

  14. Budanitsky, A., Hirst, G.: Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures in the North American Chapter of the Association for Computational Linguistics, NAACL 2000, Pittsburgh, PA (June 2001)

    Google Scholar 

  15. Resnik, P.: Using Information Content to Evaluate Semantic Similarity in a Taxonomy in IJCAI (1995)

    Google Scholar 

  16. Chevallier, L., Vigouroux, J.-R., Forthofer, R., Diamond, T., Rehm, E.: Automatic categorization of short textual metadata of multimedia database in replacement of a rule-based classification system Thomson, Singingfish. In: ACM SIGIR 2002, Workshop on Operational Text Classification, Tampere (August 2002)

    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

Chevallier, L., Forthofer, R., Tazine, NE., Vigouroux, JR. (2003). Indexing and Profiling in a Consumer Movies Catalog Browsing Tool. In: Aarts, E., Collier, R.W., van Loenen, E., de Ruyter, B. (eds) Ambient Intelligence. EUSAI 2003. Lecture Notes in Computer Science, vol 2875. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39863-9_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39863-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20418-3

  • Online ISBN: 978-3-540-39863-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics