Skip to main content

RFID-Enhanced Museum for Interactive Experience

  • Conference paper
Multimedia for Cultural Heritage (MM4CH 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 247))

Included in the following conference series:

Abstract

Visitors to physical museums are often overwhelmed by the vast amount of information available in the space they are exploring, making it difficult to select personally interesting content. Personalization solutions can provide the required user-centered interactivity between the visitors and the museum websites or museum guide systems. Recommender systems are among the most successful personalization technologies, as they have already been incorporated to solve similar problems in e-commerce, where users have a lot of choices to select a product. However, developing recommender system for museums is more challenging, because in contrast to e-commerce, museums and their exhibits exist in a physical world. Therefore, we need a hardware technology to provide us the required infrastructure to observe and model the environment and user activities. Radio-frequency identification (RFID) technology is among the best solutions for this issue, because it is cheap, fast, robust, and available everywhere. In this paper, we describe the vision of our project called RFID-Enhanced Museum for Interactive Experience (REMIX), which aims to developing a personalization platform for museums based on RFID technology and advanced recommender-systems algorithms.

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. Want, R.: An Introduction to RFID Technology. IEEE Pervasive Computing 5 (2006)

    Google Scholar 

  2. http://Web.exploratorium.edu

  3. http://Web.msichicago.org/

  4. http://Web.tmw.at/

  5. http://Web.naturhistoriskmuseum.dk/uk/info/infoUK.htm

  6. http://Web.thetech.org/

  7. Srikant, R., Agrawal, R.: Mining Sequential Patterns: Generalizations and Performance Improvements. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol. 1057, pp. 1–17. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  8. Lin, M.-Y., Lee, S.-Y.: Fast Discovery of Sequential Patterns by Memory Indexing. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2002. LNCS, vol. 2454, pp. 150–160. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  9. Lee, A.J.-T., Chena, Y.-A.: Mining frequent trajectory patterns in spatial temporal databases. Information Sciences 179(13), 2218–2231 (2009)

    Article  MATH  Google Scholar 

  10. Konstan, J.A.: Introduction to recommender systems: Algorithms and Evaluation. ACM Transactions on Information Systems 22(1) (2004)

    Google Scholar 

  11. Koren, Y., Bell, R.M., Volinsky, C.: Matrix Factorization Techniques for Recommender Systems. IEEE Computer 42(8), 30–37 (2009)

    Article  Google Scholar 

  12. Konstan, J.A.: GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis 38(1), 5–22 (2006)

    Article  Google Scholar 

  13. Bohnert, F., Schmidt, F.D., Zukerman, I.: Spatial Processes for Recommender Systems. In: International Joint Conference on Artificial Intelligence (IJCAI) (2009)

    Google Scholar 

  14. Lutkepoh, H.: Introduction to Multiple Time Series Analysis, 2nd sub edn. Springer, Telos (1993)

    Book  Google Scholar 

  15. http://Web.mymediaproject.org/

  16. Burke, R.: Hybrid recommender systems. User Modeling and User Adapted Interaction 12, 331–370 (2002)

    Article  MATH  Google Scholar 

  17. What is RFID? RFID Journal (2005)

    Google Scholar 

  18. Weinstein, R.: RFID: A Technical Overview and Its Application to the Enterprise. IT Professional 7(3), 27–33 (2005)

    Article  Google Scholar 

  19. Rao, K.V.S.: An overview of backscattered radio frequency identification system (RFID). In: Microwave Conference (1999)

    Google Scholar 

  20. Hofmann, T., Puzicha, J.: Latent class models for collaborative filtering. In: International Joint Conference on Artificial Intelligence (1999)

    Google Scholar 

  21. Hofmann, T.: Gaussian latent semantic models for collaborative filtering. In: 26th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2003)

    Google Scholar 

  22. Koren, Y., Bell, R., Volinsky, C.: Matrix Factorization Techniques for Recommender Systems, vol. 42, pp. 30–37. IEEE Computer Society (2009)

    Google Scholar 

  23. Sarwar, B., Karypis, G., et al: Item-Based Collaborative Filtering Recommendation Algorithms. World Wide Web (Web) (2001)

    Google Scholar 

  24. Diggle, P.J., Tawn, J.A., Moyeed, R.A.: Model-based geostatistics. Applied Statistics 47(3), 299–350 (1998)

    MathSciNet  MATH  Google Scholar 

  25. Banerjee, S., Carlin, B.P., Gelfand, A.E.: Hierarchical Modeling and Analysis for Spatial Data. Chapman Hall/CRC (2004)

    Google Scholar 

  26. Schwaighofer, A., Tresp, V., Yu, K.: Learning Gaussian process kernels via hierarchical Bayes. In: NIPS (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Karimi, R., Nanopoulos, A., Schmidt-Thieme, L. (2012). RFID-Enhanced Museum for Interactive Experience. In: Grana, C., Cucchiara, R. (eds) Multimedia for Cultural Heritage. MM4CH 2011. Communications in Computer and Information Science, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27978-2_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27978-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27977-5

  • Online ISBN: 978-3-642-27978-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics