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Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems

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Part of the book series: Studies in Big Data ((SBD,volume 31))

Abstract

This chapter discusses a general framework for the analysis of trajectories of moving objects, designed around a Trajectory Data Warehouse (TDW). We argue that data warehouse technologies, combined with geographic visual analytics tools, can play an important role in granting very fast, accurate and understandable analysis of mobility data. We describe how in the last decade the TDW models have changed in order to provide the user with a more suitable model of the reality of interest and we also cope with the challenge of semantic trajectories. As a use case we illustrate how the framework can be instantiated for realizing a recommender system for tourists.

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Notes

  1. 1.

    E.g., the beautiful marble statues in the Loggia dei Lanzi in Florence are only a few meters far one from each other but have a distinct dedicated page in Wikipedia.

  2. 2.

    http://www.flickr.com/services/api/flickr.photos.search.html.

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Correspondence to Salvatore Orlando .

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Nardini, F.M., Orlando, S., Perego, R., Raffaetà, A., Renso, C., Silvestri, C. (2018). Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems. In: Flesca, S., Greco, S., Masciari, E., Saccà, D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_24

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  • DOI: https://doi.org/10.1007/978-3-319-61893-7_24

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