Abstract
This paper presents a recommendation approach that proposes personalized queries to SOLAP users in order to enhance the exploitation of spatial data warehouses. The approach allows implicit extraction of the preferences and needs of SOLAP users using a spatial-semantic similarity measure between queries of different users. The proposal is defined theoretically and validated by experiments.
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Aissi, S., Gouider, M.S., Sboui, T., Ben Said, L. (2016). Enhancing Spatial Data Warehouse Exploitation: A SOLAP Recommendation Approach. In: Lee, R. (eds) Computer and Information Science. Studies in Computational Intelligence, vol 656. Springer, Cham. https://doi.org/10.1007/978-3-319-40171-3_10
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DOI: https://doi.org/10.1007/978-3-319-40171-3_10
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