Abstract
Popular journey planning systems, like Google Maps or Yahoo! Maps, usually ignore user’s preferences and context. This paper shows how we applied context-aware recommendation technologies in an existing journey planning mobile application to provide personalized and context-dependent recommendations to users. We describe two different strategies for context-aware user modeling in the journey planning domain. We present an extensive performance comparison of the proposed strategies by conducting a user-centric study in addition to a traditional offline evaluation method.
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References
Adomavicius, G., Mobasher, B., Ricci, F., Tuzhilin, A.: Context-aware recommender systems. AI Magazine 32(3), 67–80 (2011)
Baltrunas, L., Ludwig, B., Peer, S., Ricci, F.: Context relevance assessment and exploitation in mobile recommender systems. Personal and Ubiquitous Computing 16(5), 507–526 (2012)
Campos, P.G., Fernández-Tobías, I., Cantador, I., Díez, F.: Context-aware movie recommendations: an empirical comparison of pre-filtering, post-filtering and contextual modeling approaches. In: Huemer, C., Lops, P. (eds.) EC-Web 2013. LNBIP, vol. 152, pp. 137–149. Springer, Heidelberg (2013)
Codina, V., Oliva, L.: Contextual modeling content-based approaches for new-item recommendation. In: IIiX 2014, pp. 259–262. ACM (2014)
Codina, V., Ricci, F., Ceccaroni, L.: Distributional semantic pre-filtering in context-aware recommender systems. User Model User-Adapt. Interact. Springer (2015). doi:10.1145/2542668
Knijnenburg, B.P., Willemsen, M.C., Kobsa, A.: A pragmatic procedure to support the user-centric evaluation of recommender systems. In: RecSys 2011, pp. 321–324 (2011)
Koenigstein, N., Dror, G., Koren, Y.: Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. In: RecSys 2011, pp. 165–172. ACM (2011)
Koren, Y., Bell, R.: Advances in collaborative filtering. In: Recommender Systems Handbook, pp. 145–186. Springer (2011)
Hrncir, J., Jakob, M.: Generalised time-dependent graphs for fully multimodal journey planning. In: Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), pp. 2138–2145 (2013)
Hsieh, H.-P., Li, C.-T., Lin, S.-D.: Measuring and Recommending Time-Sensitive Routes from Location-Based Data. ACM Transactions on Intelligent Systems and Technology 5(3), 1–27 (2014)
Musto, C., Semeraro, G., Lops, P., de Gemmis, M.: Combining distributional semantics and entity linking for context-aware content-based recommendation. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, G.-J. (eds.) UMAP 2014. LNCS, vol. 8538, pp. 381–392. Springer, Heidelberg (2014)
Nguyen, T., Wu, B.: Random and Fuzzy Sets in Coarse Data Analysis. Comput. Stat. Data Anal. 51(1), 70–85 (2006). Elsevier Science Publishers B.V
Panniello, U., Tuzhilin, A., Gorgoglione, M., Palmisano, C., Pedone, A.: Comparing context-aware recommender systems in terms of accuracy and diversity. User Model User-Adapt. Interact. 24(1–2), 35–65 (2014)
Ricci, F.: Travel recommender systems. IEEE Intelligent Systems 17(6), 55–57 (2002)
Ricci, F., Rokach, L., Shapira, B.: Introduction to recommender systems. In: Recommender Systems Handbook, pp. 1–35. Springer (2011)
Shani, G., Gunawardana, A.: Evaluating recommendation systems. Recommender Systems Handbook, pp. 257–297. Springer (2011)
Tumas, G., Ricci, F.: Personalized mobile city transport advisory system. In: Information and Communication Technologies in Tourism, pp. 173–183. Springer (2009)
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Codina, V., Mena, J., Oliva, L. (2015). Context-Aware User Modeling Strategies for Journey Plan Recommendation. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds) User Modeling, Adaptation and Personalization. UMAP 2015. Lecture Notes in Computer Science(), vol 9146. Springer, Cham. https://doi.org/10.1007/978-3-319-20267-9_6
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DOI: https://doi.org/10.1007/978-3-319-20267-9_6
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