Skip to main content

Challenges and Solutions of Ubiquitous User Modeling

  • Chapter
  • First Online:

Part of the book series: Cognitive Technologies ((COGTECH))

Abstract

Ubiquitous display environments are public places with various situated public displays. These displays are intended to provide relevant information to people in their vicinity, where this may include the regular inhabitants of the space as well as visitors. For this latter group, it is particularly challenging to provide relevant information. This is because personalization relies on the availability of information about the individual (or group). Ubiquitous user modeling research tries to address this challenge. This chapter provides a brief introduction to user modeling and user modeling techniques and then elaborates on ubiquitous user modeling, its challenges, and the state-of-the-art research. It aims to provide a broad introduction to key approaches to user modeling and personalization as a starting point for the reader who wants to appreciate the challenges of personalization for ubiquitous display environments.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Notes

  1. 1.

    http://www.ectrlsolutions.com/web/guest/tripadviceportal.

  2. 2.

    Mediation is explained in detail in the next section.

  3. 3.

    http://movielens.umn.edu/.

  4. 4.

    Dublin Core, 2004. http://dublincore.org/.

  5. 5.

    LOM: Draft Standard for Learning Object Metadata, 2002. http://ltsc.ieee.org/wg12/index.html.

  6. 6.

    IEEE P1484.2 Learner Model Working Group, PAPI Learner, draft 7 specification, 2003. http://ltsc.ieee.org/wg2/papi learner 07 main.pdf.

  7. 7.

    Resource Description Framework (RDF) Schema Speci_cation 1.0, 2002. http: //www.w3.org/TR/rdf-schema.

  8. 8.

    Resource Description Framework, available online at http://www.w3c.org/RDF/.

  9. 9.

    OWL http://www.w3.org/2004/OWL/.

References

  1. Abowd, G. D.: 1999, Software engineering issues for ubiquitous computing. In Proceedings of the 21st international Conference on Software Engineering (Los Angeles, California, United States, May 16–22, 1999). ICSE '99. ACM, New York, NY, 75–84.

    Google Scholar 

  2. Abowd, G. D., and Mynatt, E. D.: 2000, Charting past, present, and future research in ubiquitous computing. ACM Transactions on. Computer.-Human. Interaction. 7(1), 29–58.

    Article  Google Scholar 

  3. Agnar, A., and Plaza, E.: 1994, Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches, Artificial Intelligence Communications 7(1), 39–59.

    Google Scholar 

  4. Assad, M., Carmichael, D., Kay, J., and Kummerfeld, B.: 2007, PersonisAD: Distributed, Active, Scrutable Model Framework for Context-Aware Services. Pervasive 2007, Toronto, Ontario, Canada, Springer, 4480, 55–72.

    Google Scholar 

  5. Baldauf, M., Dustdar, S., and Rosenberg, F.: 2007, A survey on context-aware systems. International Journal of Ad Hoc Ubiquitous Computing. 2(4), 263–277.

    Article  Google Scholar 

  6. Berkovsky, S., Kuflik, T., and Ricci, F.: 2008, Mediation of user models for enhanced personalization in recommender systems. User Modeling And User-Adapted Interaction. 18(3), 245–286.

    Article  Google Scholar 

  7. Billsus, D., and Pazzani, M. J.: 2000, User modeling for adaptive news access. User Modeling and User-Adapted Interaction 10(2–3), Special Issue on Deployed User Modeling, 147–180.

    Google Scholar 

  8. Bohrer, K., and Holland, B.: 2000, Customer profile exchange (cpexchange) specification. http://www.cpexchange.org/

  9. Brusilovsky, P.: 1996, Methods and techniques of adaptive hypermedia. User Modeling and User-Adapted Interaction 6(2–3), 87–129.

    Article  Google Scholar 

  10. Brusilovsky, P., and Maybury, M. The Adaptive Web.: 2002, Communications of the ACM, 2002.

    Google Scholar 

  11. Brusilovsky, P., Sosnovsky, S., and Yudelson, M.: 2005, Ontology-based Framework for User Model Interoperability in Distributed Learning Environments. In G. Richards (ed.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2005, 2851–2855. Chesapeake, VA: AACE.

    Google Scholar 

  12. Burke, R.: 1999, Integrating Knowledge-based and Collaborative-filtering Recommender Systems. In Proceedings of the Workshop on AI and Electronic Commerce, at the AAAI 99 conference.

    Google Scholar 

  13. Burke, R.: 2000, Knowledge-based Recommender Systems, in A. Kent (ed.), Encyclopedia of Library and Information Systems. 69, Supplement 32.

    Google Scholar 

  14. Burke, R.: 2002. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4):331–370.

    Article  MATH  Google Scholar 

  15. Cardoso, R. S., and Issarny, V.: 2007, Architecting Pervasive Computing Systems for Privacy: A Survey. In Proceedings of the Sixth Working IEEE/IFIP Conference on Software Architecture (January 06–09, 2007). WICSA. IEEE Computer Society, Washington, DC, 26.

    Google Scholar 

  16. Carmagnola, F., and Dimitrova, V.: 2008, An Evidence-Based Approach to Handle Semantic Heterogeneity in Interoperable Distributed User Models. In Proceedings of the 5th international Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (Hannover, Germany, July 29–August 01, 2008). W. Nejdl, J. Kay, P. Pu, and E. Herder, Eds. Lecture Notes In Computer Science, vol. 5149. Springer-Verlag, Berlin, Heidelberg, 73–82.

    Google Scholar 

  17. Carmagnola, F., Cena, F., Console, L., Cortassa, O., Gena, C., Goy, A., Torre, I., Toso, A., and Vernero, F.: 2008, Tag-based user modeling for social multi-device adaptive guides. User Modeling and User-Adapted Interaction 18(5), 497–538.

    Article  Google Scholar 

  18. Carmichael, D. J., Kay, J., and Kummerfeld, B.: 2005, Consistent Modeling of Users, Devices and Sensors in a Ubiquitous Computing Environment. User Modeling and User-Adapted Interaction 15, 3–4, 197–234.

    Article  Google Scholar 

  19. Dey, A. K., Abowd, G. D., and Salber, D.: 2001. A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum.-Comput. Interact. 16, 2 (Dec. 2001), 97–166.

    Google Scholar 

  20. Denaux, R., Dimitrova, V., and Aroyo, L.: 2004, Interactive Ontology-Based User Modeling for Personalized Learning Content Management, SW-EL’04: Semantic Web for E-Learning, workshop co-located with, AH 2004: International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Eindhoven, The Netherlands, August 23–26.

    Google Scholar 

  21. Dolog, P., and Nejdl, W.: 2003. Challenges and benefits of the semantic web for user modelling. In Proc. of AH2003 – Workshop on Adaptive Hypermedia and Adaptive Web-Based Systems, WWW2003 Conference, Hypertext’03 Conference, User Modelling Conference 2003, Budapest, Hungary, Nottingham, UK, Johnstown, PA, USA, May 2003.

    Google Scholar 

  22. Dolog, P., Henze, N., Nejdl, W., and Sintek, M.: 2004, The Personal Reader: Personalizing and Enriching Learning Resources using Semantic Web Technologies. In Proc. of AH2004 – International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, August, 2004, Eindhoven, The Netherlands. Springer Verlag

    Google Scholar 

  23. Endres, C., and Butz, A. “A Survey of Software Infrastructures and Frameworks for Ubiquitous Computing”, Mobile Information Systems Journal, 1(1), Jan–Mar 2005.

    Google Scholar 

  24. Fink, J., and Kobsa, A.: 2000, A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web. International Journal on User Modeling and User-Adapted Interaction, 10(2–3), 209–249.

    Article  Google Scholar 

  25. Fink, J., and Kobsa, A.: 2002. User Modeling for Personalized City Tours. Artificial Intelligence. Review 18(1), 33–74.

    Article  MATH  Google Scholar 

  26. Gerber, S., Pink, G., Fry, M., Kay, J., Kummerfeld, B., and Wasinger, R.: 2010, PersonisJ: mobile, client-side user modelling, TR648, School of Information Technologies, University of Sydney.

    Google Scholar 

  27. Goldberg, D., Nichols, D., Oki, B. M., and Terry, D.: 1992, Using collaborative filtering to weave an information tapestry. Commun. ACM 35, 12, 61–70.

    Article  Google Scholar 

  28. Göker, A., Watt, S., Myrhaug, H. I., Whitehead, N., Yakici, M., Bierig, R., Nuti, S. K., and Cumming, H.: 2004. An ambient, personalised, and context-sensitive information system for mobile users. In Proceedings of the 2nd European Union Symposium on Ambient intelligence (Eindhoven, Netherlands, November 08–10, 2004). EUSAI '04, vol. 84. ACM, New York, NY, 19–24.

    Google Scholar 

  29. González, G., Angulo, C., López, B., and de la Rosa, J. L.: 2005, Smart User Models for Ambient Recommender Systems, in Ambient Intelligence and (Everyday) Life, eds., Y. Cai. and J. Abascal, 113–122, San Sebastian, Spain, (July 2005). University of the Basque Country.

    Google Scholar 

  30. Gross, T.: 2008, Cooperative ambient intelligence: towards autonomous and adaptive cooperative ubiquitous environments. Int. Journal. On Autonomous. Adaptive. Communication. Systems. 1(2), 270–278.

    Article  Google Scholar 

  31. Hanani, U., Shapira, B., and Shoval, P.: 2001, Information Filtering: Overview of Issues, Research and Systems. User Modeling and User Adapted Interactions, 11(3), 203–259.

    Article  MATH  Google Scholar 

  32. Hatala, M., and Wakkary, R.: 2005, Ontology-Based User Modeling in an Augmented Audio Reality System for Museums. User Modeling and User-Adapted Interaction 15(3–4),339–380.

    Article  Google Scholar 

  33. Heckmann, D., and Kruger, A. (2003) “A User Modeling Markup Language (UserML) for Ubiquitous Computing”. In 9th International Conference on User Modeling (UM’2003), Pittsburgh, June, pp. 393–397

    Google Scholar 

  34. Heckmann, D.: 2005, Ubiquitous User Modeling, Ph.D. thesis, Computer Science Department, Saarland University, Germany.

    Google Scholar 

  35. Henricksen, K., Indulska, J., and Rakotonirainy, A.: 2001, Infrastructure for pervasive computing: Challenges. In GI Jahrestagung (1), 214–222.

    Google Scholar 

  36. Henricksen, K., Indulska, J., McFadden, T., and Balasubramaniam, S.: 2005, Middleware for distributed context-aware systems. In Proc. of On the Move to Meaningful Internet Systems, LNCS 3760, 846–863.

    Google Scholar 

  37. Henze, N., and Kriesell, M.: 2004, Personalization functionality for the semantic web: Architectural outline and first sample implementation. In Proceedings of the 1st International Workshop on Engineering the Adaptive Web (EAW 2004), co-located with AH 2004, Eindhoven, The Netherlands.

    Google Scholar 

  38. Henze, N., Krause, D.: 2006, Personalized access to web services in the semantic web. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L. (eds.) ISWC 2006. LNCS, vol. 4273, Springer, Heidelberg.

    Google Scholar 

  39. Iqbal, R., Sturm, J., Kulyk, O., Wang, J., and Terken, J.: 2005. User-centred design and evaluation of ubiquitous services. In Proceedings of the 23rd Annual international Conference on Design of Communication: Documenting & Designing For Pervasive information. Coventry, United Kingdom, September 21–23.

    Google Scholar 

  40. Izadi, S., Coutinho, P., Rodden, T., and Smith, G.: 2002, The fuse platform: Supporting ubiquitous collaboration within diverse mobile environments. Automated Software Engineering, 9(2), 167–186.

    Article  MATH  Google Scholar 

  41. Jameson, A., and Krüger, A.: 2005. Preface to the Special Issue on User Modeling in Ubiquitous Computing. User Modeling and User-Adapted Interaction 15(3–4), 193–195.

    Article  Google Scholar 

  42. Kjær, K. E.: 2007, A survey of context-aware middleware. In Proceedings of the 25th Conference on IASTED international Multi-Conference: Software Engineering (Innsbruck, Austria, February 13–15, 2007). W. Hasselbring, Ed. IASTED International Multi-Conference: Software Engineering. ACTA Press, Anaheim, CA, 148–155.

    Google Scholar 

  43. Kay, J.: 1990, um: a user modelling toolkit, Second International User Modeling Workshop, Hawaii, 251–261.

    Google Scholar 

  44. Kay, J.: 1994. Lies, damned lies and stereotypes: pragmatic approximations of users, Kobsa, A and D Litman (eds.), Proceedings of the Fourth International Conference on User Modeling, UM Inc, 175–184.

    Google Scholar 

  45. Kay, J.: 1995. The um toolkit for cooperative user modeling, User Modeling and User-Adapted Interaction 4(3), 149–196.

    Google Scholar 

  46. Kay, J.: 1999. Ontologies for reusable and scrutable student models, Mizoguchi, R, (ed) AIED Workshop W2: Workshop on Ontologies for Intelligent Educational Systems, 72–77.

    Google Scholar 

  47. Kay, J., Kummerfeld, B., and Lauder, P.: 2002, Personis: A server for user models. In: AH’02: Proceedings of Adaptive Hypermedia and Adaptive Web-Based Systems, Springer-Verlag, London, UK, 203–212.

    Google Scholar 

  48. Kobsa, A.: 1995, Editorial. Using Modeling and User-Adapted Interaction 4(2), Special Issue on User Modeling Shell Systems, iii^v.A.

    Google Scholar 

  49. Kobsa. A.: 2001, Generic User Modeling Systems. User Modeling and User-Adapted Interaction 11(1–2), 49–63.

    Article  MATH  Google Scholar 

  50. Kobsa, A., and Fink, J.: 2006, An LDAP-based User Modeling Server and its Evaluation. User Modeling and User-Adapted Interaction 16(2), 129–169.

    Article  Google Scholar 

  51. Kobsa, A., and Wahlster, W.: 1989, User models in dialog systems. Springer-Verlag.

    Google Scholar 

  52. Kuflik, T., and Poteriaykina, K.: 2009, User Model on a Key. In Proceedings of Hypertext 2009, Torino, Italy, June 29th–July 1st 2009, 371–372.

    Google Scholar 

  53. Kyriacou E. D.: 2009, Enriching Lifelong User Modelling with the Social e-Networking and e-Commerce “Pieces of the Puzzle”. In: First and Seventeenth International Conference on User Modeling, Adaptation, and Personalization (UMAP2009)

    Google Scholar 

  54. Kyriacou, D., Davis, H., and Tiropanis, T.: 2009, Evaluating Three Scrutability and Three Privacy User Privileges for a Scrutable User Modelling Infrastructure, In: First and Seventeenth International Conference on User Modeling, Adaptation, and Personalization (UMAP2009) 22–26.

    Google Scholar 

  55. Lyytinen, K., and Yoo, Y. (eds.): 2002. Communications of the ACM 45 (12): 62–96.

    Google Scholar 

  56. Langheinrich, M.: 2001, Privacy by design – principles of privacy-aware ubiquitous systems. In Proceedings of UbiComp 2001, 273–291, Atlanta, GA, USA.

    Google Scholar 

  57. Lehikoinen, J. T., Lehikoinen, J., and Huuskonen, P.: 2008. Understanding privacy regulation in ubicomp interactions. Personal Ubiquitous Computing 12(8), 543–553.

    Article  Google Scholar 

  58. Liu, H., Maes, P., and Davenport, G.: 2006, Unraveling the taste fabric of social networks. International Journal on Semantic Web and Information Systems, 2(1), 42–71.

    Article  Google Scholar 

  59. Malone, T., Grant, K., Turbak, F., Brobst, S., and Cohen, M.: 1987, intelligent information sharing systems. Communications of the ACM 30(5), 390–402.

    Article  Google Scholar 

  60. McCarthy, J.: 2001, Active environments: Sensing and responding to groups of people. Personal and Ubiquitous Computing, 5(1), Available at http://www.inf.ethz.ch/vs/events/dag2001/.

  61. Mehta, B., Nieder’ee, C., Stewart, A., Degemmis, M., Lops, P., and Semeraro. G.: 2005, Ontologically-enriched unified user modeling for cross-system personalization. In User Modeling, 119–123.

    Google Scholar 

  62. Myrhaug, H., Whitehead, N., Goker, A., Faegri, T. E., and Lech, T. C.: 2004, AmbieSense – A System and Reference Architecture for Personalised Context-Sensitive Information Services for Mobile Users. 2nd European Symposium on Ambient Intelligence EUSAI 2004, Eindhoven, Netherlands, LNCS Volume 3295/2004 Springer-Verlag 327–338.

    Google Scholar 

  63. Mostefaoui, G. K., Pasquier-Rocha, J., and Brezillon, P.: 2004, Context-Aware Computing: A Guide for the Pervasive Computing Community. In Proceedings of the IEEE/ACS international Conference on Pervasive Services (July 19–23, 2004). ICPS. IEEE Computer Society, Washington, DC, 39–48.

    Google Scholar 

  64. Niemelä, E., and Latvakoski, J.: 2004. Survey of requirements and solutions for ubiquitous software. In Proceedings of the 3rd international Conference on Mobile and Ubiquitous Multimedia (College Park, Maryland, October 27–29, 2004). MUM '04, vol. 83. ACM, New York, NY, 71–78.

    Google Scholar 

  65. Niu, W. T., and Kay, J.: 2010, PERSONAF: Framework for personalized ontological reasoning in pervasive computing. User modeling and User-Adapted Interaction: the Journal of Personalization Research, 20(1) 1–40.

    Article  Google Scholar 

  66. Pham, T., Schneider, G., and Goose, S.: 2000, A situated computing framework for mobile and ubiquitous multimedia access using small screen and composite devices. In Proceedings of the Eighth ACM international Conference on Multimedia (Marina del Rey, California, United States). MULTIMEDIA '00. ACM, New York, NY, 323–331.

    Google Scholar 

  67. Razmerita, L., Angehrn, A., and Maedche, A.: 2003, Ontology based user modeling for Knowledge Management Systems, Proceedings of the User Modeling Conference, Pittsburgh, USA, Springer Verlag, 213–217.

    Google Scholar 

  68. Ricci, F., and Werthner, H.: 2002, Case base querying for travel planning recommendation. Information Technology and Tourism, 3(3/4), 215–226.

    Google Scholar 

  69. Rich, E.: 1983, Users are Individuals: individualizing user. International Journal of Man-machine studies, 18(3), 199–214.

    Article  Google Scholar 

  70. Saha, D., and Mukherjee, A.: 2003, Pervasive computing: a paradigm for the 21st century. Computer, 36(3), 25–31.

    Article  Google Scholar 

  71. Sarwar, B., Karypis, G., Konstan, J., and Riedl, J. 2001. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th international conference on World Wide Web (WWW '01). ACM, New York, NY, USA, 285–295.

    Google Scholar 

  72. Satyanarayanan, M.: 2002, Pervasive computing: vision and challenges. Personal Communications, IEEE, 8(4), 10–17.

    Article  Google Scholar 

  73. Self, J.: 1990, Bypassing the intractable problem of student modelling, Intelligent Tutoring System: At the Crossroads of Artificial Intelligence and Education, 107–123.

    Google Scholar 

  74. Seth, A., and Zhang, J.: 2008, A Social Network Based Approach to Personalized Recommendation of Participatory Media Content. Proc. ICWSM’08. Seattle, WA.

    Google Scholar 

  75. Slay, H., and Thomas, B.: 2006, Interaction and visualisation across multiple displays in ubiquitous computing environments. In Proceedings of the 4th international Conference on Computer Graphics, Virtual Reality, Visualisation and interaction in Africa (Cape Town, South Africa, January 25–27, 2006). AFRIGRAPH '06. ACM, New York, NY, 75–84.

    Google Scholar 

  76. Song, X., Tseng, B., Lin, C., and Sun, M.: 2006. Personalized recommendation driven by information flow. SIGIR.

    Google Scholar 

  77. Stan, J., Egyed-Zsigmond, E., Joly, A. and Maret, P. “A User Profile Ontology For Situation-Aware Social Networking,” 3rd Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI2008), Jul. 2008.

    Google Scholar 

  78. Strang, T., and Linnhoff-Popien, C.: 2004, A context modeling survey. In 1st Int. Workshop on Advanced Context Modelling, Reasoning and Management.

    Google Scholar 

  79. Sutterer, M., Droegehorn, O., and David, K.: ‘Upos: 2008, User profile ontology with situation-dependent preferences support’, Proceedings of the First International Conference on Advances in Computer-Human Interaction, ACHI 2008. February 10–15, 2008 – Sainte Luce, Martinique, 230–235.

    Google Scholar 

  80. Torre, I.: 2009, Adaptive systems in the era of the semantic and social web, a survey. User Modeling and User-Adapted Interaction 19(5), 433–486.

    Article  Google Scholar 

  81. Tutzschke, J., and Zukunft, O.: 2009, FRAP: a framework for pervasive games. In Proceedings of the 1st ACM SIGCHI Symposium on Engineering interactive Computing Systems (Pittsburgh, PA, USA, July 15–17, 2009). EICS '09. ACM, New York, NY, 133–142.

    Google Scholar 

  82. Uhlmann, S., and Lugmayr, A.: 2008, Personalization algorithms for portable personality. In Proceedings of the 12th international Conference on Entertainment and Media in the Ubiquitous Era (Tampere, Finland, October 07–09, 2008). MindTrek '08. ACM, New York, NY, 117–121.

    Google Scholar 

  83. van Elst, L., Abecker, A., and Maus. H.: 2001, Exploiting User and Process Context for Knowledge Management Systems. Workshop on User Modeling for Context-Aware Applications at the 8th Int. Conf. on User Modeling, July 13–16, 2001, Sonthofen, Germany.

    Google Scholar 

  84. Vassileva, J.: 1996, A task-centered approach for user modeling in a hypermedia office documentation system, User Modeling and User-Adapted Interaction, 6, 185–223.

    Article  Google Scholar 

  85. Vassileva, J., Mccalla, G., and Greer, J.: 2003. Multi-Agent Multi-User Modeling in I-Help. User Modeling and User-Adapted Interaction 13(1–2), 179–210.

    Article  Google Scholar 

  86. Walsh, E., Wade, V.:2009, Lowering the Barriers to User Model Interoperability, Ubiquitous User Modeling in proceedings of the Workshop at the Conference on User Modeling, Adaptation, Personalization (UMAP), Trento, Italy, 22–26 June 2009. 44–47.

    Google Scholar 

  87. Waller, V., and Johnston, R. B.: 2009. Making ubiquitous computing available. Communication of the. ACM 52(10), 127–130.

    Article  Google Scholar 

  88. Weiser, M.: 1991, The computer for the 21st century, Scientific American, 3(265):94–014.

    Article  Google Scholar 

  89. Weiser, M.: 1993, Some computer science issues in ubiquitous computing. Communications of the ACM 36(7), 75–84.

    Article  Google Scholar 

  90. Weiβenberg, N., Voisard, A., and Gartmann, R.: 2004. Using ontologies in personalized mobile applications. In Proceedings of the 12th Annual ACM international Workshop on Geographic information Systems (Washington DC, USA, November 12–13, 2004). GIS '04. ACM, New York, NY, 2–11.

    Google Scholar 

  91. Wilensky, R., Arens, Y., and Chin, D.: 1984, Talking to UNIX in English: an overview of UC. Communications of the ACM 27(6), 574–593.

    Article  Google Scholar 

  92. Yang, J., Wang, J., Clements, M., Pouwelse, J., de Vries, A. P., and Reinders, M.: 2007. An epidemic-based p2p recommender system. SIGIR-WS Large Scale Distributed Systems.

    Google Scholar 

  93. Yimam-Seid, D., and Kobsa, A.: 2003, Expert Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach. Journal of Organizational Computing and Electronic Commerce 13(1), 1–24.

    Article  Google Scholar 

  94. Yovanof, G. S., and Hazapis, G. N.: 2009. An Architectural Framework and Enabling Wireless Technologies for Digital Cities & Intelligent Urban Environments. Wireless. Personal. Communication. 49(3), 445–463.

    Article  Google Scholar 

  95. Yu, B., and Singh, M.: 2003. Searching social networks. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems (AAMAS '03). ACM, New York, NY, USA, 65–72.

    Google Scholar 

  96. Yudelson, M., Gavrilova, T., and Brusilovsky. P.: 2005, Towards user modeling metaontology. In L. et al. Ardissono, editor, 10th Int. Conf. on User Modeling, UM’05, 448–452, Edinburgh, Scotland, UK.

    Google Scholar 

  97. Zhang, F., Song, Z., and Zhang, H.: 2006. Web Service Based Architecture and Ontology Based User Model for Cross-System Personalization. In Proceedings of the 2006 IEEE/WIC/ACM international Conference on Web intelligence (December 18–22, 2006). Web Intelligence. IEEE Computer Society, Washington, DC, 849–852.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tsvi Kuflik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kuflik, T., Kay, J., Kummerfeld, B. (2012). Challenges and Solutions of Ubiquitous User Modeling. In: Krüger, A., Kuflik, T. (eds) Ubiquitous Display Environments. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27663-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27663-7_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27662-0

  • Online ISBN: 978-3-642-27663-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics