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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
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    More about this item

    Keywords

    Content-based filtering; Recommender Systems; Ontology; Social Attributes; Destination recommendation;
    All these keywords.

    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

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