ITR: A Case-Based Travel Advisory System

Francesco Ricci, Bora Arsian, Nader Mirzadeh, and Adriano Venturini

eCommerce and Tourism Research Laboratory
ITC-irst
via Sommarive 18
38050 Povo, Italy
{ricci,arslan,mirzadeh,venturi}@itc.it



Abstract. This paper presents a web based recommender system aimed
at supporting a user in information filtering and product bundling. The
system enables the selection of travel locations, activities and attractions,
and supports the bundling of a personalized travel plan. A travel plan is
composed in a mixed initiative way: the user poses queries and the recommender 
exploits an innovative technology that helps the user, when
needed, to reformulate the query. Travel plans are stored in a memory
of cases, which is exploited for ranking travel items extracted from catalogues. 
A new collaborative approach is introduced, where user past
behavior similarity is replaced with session (travel plan) similarity.
References

[1]	D. Aha and L. Breslow. Refining conversational case libraries. In Case-Based
Reasoning Research and Development, Proceedings of the 2nd International Conference 
on Case-Based Reasoning (ICCBR-97,), pages 267278. Springer, 1997.
[2]	P. K. Ankomah, J. L. Crompton, and D. Baker. Influence of cognitive distance in
vacation choice. Annals of Tourism Research, 23(1):138150, 1996.
[3]	R. Burke. Knowledge-based recommender systems. In J. E. Daily, A. Kent, and
H. Lancour, editors, Encyclopedia of Library and Information Science, volume 69.
Marcel Dekker, 2000.
[4]	J. J. Daniels and E. L. Rissland. What you saw is what you want: Using cases to
seed information retrieval. In ICCBR, pages 325336, 1997.
[5]	J. Delgado and R. Davidson. Knowledge bases and user profiling in travel and
hospitality recommender systems. In Proceedings of the ENTER 2002 Conference,
pages 116, Innsbruck, Austria, January 22-25 2002. Springer Verlag.
[6]	D. R. Fesenmaier and J. Jeng. Assessing structure in the pleasure trip planning
process. Tourism Analysis, 5:1317, 2000.
[7]	D. Florescu, A. Levy, and A. Mendelzon. Database techniques for the world-wide
web:a survey. SIGMOD Record, 27(3) :5974, 1998.
[8]	T. Gaasterland, P. Godfrey, and J. Minker. An overview of cooperative answering.
Journal of Intelligent Information Systems, 1(2):123157, 1992.
[9]	M. H. Gker and C. A. Thomson. Personalized conversational case-based recommendation. 
In Advances in case-based reasoning: 5th European workshop,
EWCBR-2000, Trento, Italy, September 69, 2000: proceedings, pages 99-111.
Springer, 2000.
[10]	K. Grabler and A. Zins. Vacation trip decision styles as basis for an automated
recommendation system: Lessons from observational studies. In Proceedings of
the ENTER 2002 Conference, Innsbruck, Austria, January 22-25 2002. Springer
Verlag.
[11]	Y.-H. Hwang, U. Gretzel, and D. R. Fesenmaier. Behavioral foundations for
human-centric travel decision-aid systems. In Proceedings of the ENTER 2002
Conference, Innsbruck, Austria, January 22-25 2002. Springer Verlag.
[12]	N. Kassem and the Enterprise Team. Designing Enterprise Applications with the
Java TM 2 Platform, Enterprise Edition. Addison-Wesley, 2000.
[13]	M. Lenz. Imtas - intelligent multimedia travel agent system. In Information
and Communication Technologies in Tourism (Proceedings of ENTER-96), pages
1117. Springer, 1996.
[14]	L. Moutinho. Consumer behavior in tourism. European Journal of Marketing,
21:244, 1987.
[15]	F. Ricci, N. Mirzadeh, and A. Venturini. Intelligent query managment in a mediator 
architecture. In IEEE International Symposium Intelligent Systems, Sunny
Day, Bulgaria, September 10-12 2002.
[16]	F. Ricci, N. Mirzadeh, A. Venturini, and H. Werthner. Case-based reasoning and
legacy data reuse for web-based recommendation architectures. In Proceedings
of the Third International Conference on Information Integration and Web-based
Applications & Services, pages 229241, Linz, Austria, September 10-12 2001.
[17]	B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering
recommendation algorithms. In Proceedings of WWW10 Conference, pages 285--
295, Hong Kong, May 1-5 2001. ACM.
[18]	B. Smyth and M. T. Keane. Design a la deja vu: Reducing the adaptation overhead. 
In Case-Based Reasoning: Experiences, Lessons, and Future Directions.
AAAI Press/MIT Press, 1996.
[19]	A. Stahl and R. Bergman. Applying recursive cbr for the customization of structured 
products in an electronic shop. In Advances in case-based reasoning: 5th
European workshop, EWCBR-2000, Trento, Italy, September 69, 2000: proceedings, 
pages 297308. Springer, 2000.
[20]	G. Wiederhold. Mediators in the architecture of future information systems. IEEE
Computer, 25(3):3849, 1992.
[21]	D. R. Wilson and T. R. Martinez. Improved heterogeneous distance functions.
Journal of Artificial Intelligence Research, 11:134, 1997.
