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Advanced Personalization Of Location Based Services

Author

Listed:
  • LIVIU COTFAS

    (Academy of Economic Studies, Bucharest, Romania)

Abstract

This article explores possible solutions for improving Location Based Services (LBS). For the purpose of this paper context, user profile, previous choices and the choice profiles of similar users are aspects taken into consideration. A possible implementation of an LBS system, in the form of a public transport route finding application based on genetic algorithms is also presented. The proposed application uses semantic tagging to integrate data from multiple sources and sensors into a single interpretation.

Suggested Citation

  • Liviu Cotfas, 2009. "Advanced Personalization Of Location Based Services," Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 6-7 2009 5, Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", DEPARTMENT FOR MANAGEMENT OF THE DEFENCE RESOURCES AND EDUCATION.
    • Handle: RePEc:rom:confkm:5
    as

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    File URL: https://ccasp.ase.ro/KM2009/5.pdf
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    More about this item

    Keywords

    Knowledge Management; Geographic Information Systems; Location-based Services; Semantic Web;
    All these keywords.

    JEL classification:

    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services

    Statistics

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