Skip to main content
SpringerLink
Log in

IM3: A System for Matchmaking in Mobile Environments

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

In this paper we present IM3 (Intelligent Mobile MatchMaker), a system that recommends tourist events to users. The system, based on a centralised server and accessible through mobile devices, matches user preferences (demand) with descriptions of tourist events (supply), in order to provide the user with information about the events that he/she is likely to be interested in. User and event descriptions in IM3 are represented with a formalism borrowed from AI and based on Description Logics; such descriptions are allowed to be incomplete in the parts that are considered irrelevant by the demander/supplier. The algorithms implemented in IM3 are able to deal with both conflicting and missing information between user and event profiles. Motivated by the nature of its application domain, IM3 can operate in a location-based fashion: it can provide the user with information related to events close to the user terminal, allowing the clients to connect via Bluetooth to registered local servers. Finally, also mobile terminals, running suitable software included in IM3, can match demand and supply profiles among them via Bluetooth, without relying on any centralised server.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)

    MATH  Google Scholar 

  2. Baader, F., Hanschke, P.: A schema for integrating concrete domains into concept languages. In: Proc. of IJCAI 1991, pp. 452–457 (1991)

    Google Scholar 

  3. Basu, C., Hirsh, H., Cohen, W.: Recommendation as classification: Using social and content-based information in recommendation. In: Proc. of AAAI (1998)

    Google Scholar 

  4. Bertini, E., Cal‘ı, A., Catarci, T., Gabrielli, S., Kimani, S.: Interaction-based adaptation for small screen devices. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 277–281. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Cal‘ı, A., Calvanese, D., Colucci, S., Noia, T.D., Donini, F.M.: A logic-based approach for matching user profiles. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3215, pp. 187–195. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  6. Hillier, F.S., Lieberman, G.J.: Introduction to Operations Research. McGraw- Hill, New York (1995)

    Google Scholar 

  7. Kuokka, D., Harada, L.: Integrating Information Via Matchmaking. J. of Intelligent Information Systems 6, 261–279 (1996)

    Article  Google Scholar 

  8. McDonald, D.W., Ackermann, M.S.: Expertise recommender: a flexible recommendation system and architecture. In: Proc. of CSCW (2000)

    Google Scholar 

  9. Middleton, S.E., Shadbolt, N., De Roure, D.: Ontological user profiling in recommender systems. ACM Trans. Inf. Syst. 22(1), 54–88 (2004)

    Article  Google Scholar 

  10. Smythe, C., Poole, D.: Qualitative probabilistic matching with hierarchical descriptions. In: Proc. of KR (2004)

    Google Scholar 

  11. Sycara, K., Widoff, S., Klusch, M., Lu, J.: LARKS: Dynamic Matchmaking Among Heterogeneus Ssoftware Agents in Cyberspace. Autonomous agents and multi-agent systems 5, 173–203 (2002)

    Article  Google Scholar 

  12. Veit, D., Muller, J.P., Schneider, M., Fiehn, B.: Matchmaking for Autonomous Agents in Electronic Marketplaces. In: Proc. AGENTS 2001, pp. 65–66. ACM, New York (2001)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Computer Science, Free University of Bozen-Bolzano, piazza Domenicani 3, I-39100, Bolzano, Italy

    Andrea Calì

Authors
  1. Andrea Calì
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Calì, A. (2005). IM3: A System for Matchmaking in Mobile Environments. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_39

Download citation

  • DOI: https://doi.org/10.1007/11552413_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation