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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CITATION STYLE
Codina, V., Mena, J., & Oliva, L. (2015). Context-Aware User Modeling Strategies for Journey Plan Recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9146, pp. 68–79). Springer Verlag. https://doi.org/10.1007/978-3-319-20267-9_6
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