IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/25160.html
   My bibliography  Save this paper

Improving the Dependability of Destination Recommendations using Information on Social Aspects

Author

Listed:
  • Daramola, Olawande J.
  • Adigun, Mathew O.
  • Ayo, Charles K.
  • Olugbara, Oludayo O.

Abstract

Prior knowledge of the social aspects of prospective destinations can be very influential in making travel destination decisions, especially in instances where social concerns do exist about specific destinations. In this paper, we describe the implementation of an ontology-enabled Hybrid Destination Recommender System (HDRS) that leverages an ontological description of five specific social attributes of major Nigerian cities, and hybrid architecture of content-based and case-based filtering techniques to generate personalised top-n destination recommendations. An empirical usability test was conducted on the system, which revealed that the dependability of recommendations from Destination Recommender Systems (DRS) could be improved if the semantic representation of social attributes information of destinations is made a factor in the destination recommendation process.

Suggested Citation

  • Daramola, Olawande J. & Adigun, Mathew O. & Ayo, Charles K. & Olugbara, Oludayo O., 2009. "Improving the Dependability of Destination Recommendations using Information on Social Aspects," MPRA Paper 25160, University Library of Munich, Germany, revised 12 Apr 2009.
  • Handle: RePEc:pra:mprapa:25160
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/25160/1/MPRA_paper_25160.pdf
    File Function: original version
    Download Restriction: no

    More about this item

    Keywords

    Content-based filtering; Recommender Systems; Ontology; Social Attributes; Destination recommendation;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:25160. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.