Abstract
In this paper, we describe a CBR solution to the route planning problem for groups of people. We have compared keyword coverage results for our CBR approach and heuristic search algorithms. User preferences are important for individual visits but when dealing with group visits there are other aspects to consider. In our case study a group of people plans a visit to MIGS (Museo de Informática Garcia Santesmases http://www.fdi.ucm.es/migs/), a museum about computer science history located at the Computer Science Faculty of Complutense University in Madrid. CBR results are promising and we discuss the benefits of the experience in the case base when planning a group visit. CBR has become specially appropriate given that it assists the knowledge discovery task when learning about subtle differences affecting the suitability of group plans over individual plans computed by traditional search algorithms.
Supported by UCM (Group 910494) and Spanish Committee of Economy and Competitiveness (TIN2014-55006-R).
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Notes
- 1.
Professor Jose Garcia Santesmases built the first computer in Spain, between 1953 y 1954.
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Aguirre-Pemán, J., Díaz-Agudo, B., Jimenez-Diaz, G. (2016). Searching Museum Routes Using CBR. In: Goel, A., Díaz-Agudo, M., Roth-Berghofer, T. (eds) Case-Based Reasoning Research and Development. ICCBR 2016. Lecture Notes in Computer Science(), vol 9969. Springer, Cham. https://doi.org/10.1007/978-3-319-47096-2_1
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