A proposal for semantic recommender for outdoor audio tour guides

A. Koren, N. Stash, A. Andreev

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Abstract

    Location-based services are widely spread both as entertainment and business applications. The focus of this work is on one particular area – tourist-oriented information services. Multilingual and easy-to-access information is always in a big demand. Our project is supposed to move tourist information services to a higher level by introducing personalization and smart recommendation capabilities. The target of this work is an implementation of a personalized outdoor audio guide for tourists with dynamic context-based recommendations based on a semantic information model. Architecture will be based on the research conducted in the scope of the proposed project and the experience in developing mobile guides for outdoor and indoor environments gained within the Excursia Audio Guide and CHIP (Cultural Heritage Information Personalization) projects respectively.
    Original languageEnglish
    Title of host publicationWorkshop on Personalization in Mobile Applications (PeMA 2011) at the 5th ACM Conference on Recommender Systems (RecSys 2011, Chicago IL, USA, October 23-27, 2011)
    EditorsN. Lathia
    Place of PublicationLondon
    PublisherUniversity College London
    Pages1-4
    Publication statusPublished - 2011

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