Abstract
Personalized recommendations in a mobile tourist information system suffer from a number of limitations. Most pronounced is the amount of initial user information needed to build a user model. In this paper, we adopt and extend the basic concepts of recommendation paradigms by exploiting a user’s personal information (e.g., preferences, travel histories) to replace the missing information. The designed algorithms are embedded as recommendation services in our TIP prototype. We report on the results of our analysis regarding effectiveness and performance of the recommendation algorithms. We show how a number of limiting factors were successfully eliminated by our new recommender strategies.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11914853_71.
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Amendola, I., Cena, F., Console, L., Crevola, A., Gena, C., Goy, A., Modeo, S., Perrero, M., Torre, I., Toso, A.: UbiquiTO: A multi-device adaptive guide. In: Mobile HCI: Mobile Human-Computer Interaction, Glasgow, UK (September 2004)
Burke, R.: Knowledge-based and collaborative-filtering recommender systems. In: Proceedings of the Workshop on AI and Electronic Commerce. AAAI 1999, Orlando, Florida (1999)
Burke, R., Hammond, K., Yong, B.: The findme approach to assisted browsing. IEEE Expert: Intelligent Systems and Their Applications 12(4), 32–40 (1997)
Chen, H., Chen, A.: A music recommendation system based on music data grouping and user interest. In: Proceedings of the tenth international conference on Information and knowledge management, Atlanta, Georgia, USA (October 2001)
Cheverst, K., Mitchell, K., Davies, N.: The role of adaptive hypermedia in a context-aware tourist guide. Communication of the ACM 45(5), 47–51 (1997)
Hayes, C., Massa, P., Avesani, P., Cunningham, P.: An on-line evaluation framework for recommender systems. In: Workshop on Personalization and Recommendation in E-Commerce, Malaga, Spain (May 2002)
Herlocker, J., Konstan, J., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: Proceedings of the SIGIR 1999, Berkley, California, USA. (August 1999)
Herlocker, J., Konstan, J., Terveen, L., Riedl, J.: Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems 22(1), 5–53 (2004)
Hinze, A., Junmanee, S.: Travel recommendations in a mobile tourist information system. In: Proceedings of Information Systems and its Application ISTA 2005, Palmerston North, New Zealand (May 2005)
Hinze, A., Voisard, A.: Location and time-based information delivery in tourism. In: Proceedings of Advances in Spatial and Temporal Databases, 8th International Symposium, Santorini Island, Greece (July 2003)
Junmanee, S., Hinze, A.: Design and implementation of an advanced recommendation component in the tourist information system tip. Technical Report X/2006, University of Waikato, Computer Science Department, Hamilton, New Zealand, (June 2006), based on Master’s Thesis
Klante, P., Krösche, J., Boll, S.: AccesSights – A multimodal location-aware mobile tourist information system. In: Miesenberger, K., Klaus, J., Zagler, W.L., Burger, D. (eds.) ICCHP 2004. LNCS, vol. 3118, pp. 287–294. Springer, Heidelberg (2004)
Melvile, P., Mooney, R., Nagarajan, R.: Content-boosted filtering for improved recommendations. In: Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI 2002), Edmonton, Canada (July 2002)
Middleton, S.E., Shadbolt, N., Roure, D.D.: Ontological user profiling in recommender systems. ACM Transactions on Information Systems 22(1), 54–88 (2004)
Mooney, R., Roy, L.: Content-based book recommending using learning for text categorization. In: Proceedings of the fifth ACM conference on Digital libraries, San Antonio, Texas, USA (June 2000)
Papagelis, M., Plexousakis, D.: Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents. In: Proc. of the Workshop for Cooperative Information Agents VIII, Erfurt, Germany (September 2004)
Paris, C.: Information delivery for tourism. IEEE Intelligent System 17(6), 61–63 (2002)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of 10th International World Wide Web Conference, WWW10, Hong Kong (May 2001)
Scottish citylink online bus ticket booking, Available at: http://www.citylink.co.uk/howtobuy.htm (accessed on 19/4/2005)
Simcock, T., Hillenbrand, S., Thomas, B.: Developing a location based tourist guide application. In: Proceedings of the Australasian information security workshop conference CRPTIS 21, ACSW frontiers, Australia (2003)
Sinha, R., Swearingen, K.: The role of transparency in recommender systems. In: Proceedings of Conference on Human Factors in Computing Systems, London, UK, April 2002, pp. 830–831
Vozalis, E., Margaritis, K.: Analysis of recommender system’s algorithm. In: Sixth Hellenic-European Conference on Computer Mathematics and its Applications(HERCMA), Athens, Greece (September 2003)
Zipf, A.: Adaptive context-aware mobility support for tourists. IEEE Intelligent System 17(6), 57–59 (2002)
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Hinze, A., Junmanee, S. (2006). Advanced Recommendation Models for Mobile Tourist Information. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. OTM 2006. Lecture Notes in Computer Science, vol 4275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11914853_38
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DOI: https://doi.org/10.1007/11914853_38
Publisher Name: Springer, Berlin, Heidelberg
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