TOURISM RECOMMENDATION SYSTEM: EMPIRICAL INVESTIGATION

Authors

  • Biljana PETREVSKA Goce Delcev University, Faculty of Tourism and Business Logistics, Stip, Macedonia
  • Saso KOCESKI Goce Delcev University, Faculty of Computer Science, Stip

DOI:

https://doi.org/10.4316/rdt.14.23

Keywords:

Collaborative filtering, Tourism web-portal, Tourist profiling, Recommendation system

Abstract

The paper makes an attempt to justify the necessity of implementing recommendation system which will assist tourists in identification of their ideal holiday. The proposed recommendation system based on collaborative filtering notes positive impulses in the case of Macedonia. A software module is developed being capable to generate a personalized list of favorable and tailor-made items. The research outcomes indicate that the designed national tourism web portal can provide satisfactory performance and may be of high importance to all key-tourism actors in the process of identifying measures necessary for creating competitive tourism product.

Author Biographies

Biljana PETREVSKA, Goce Delcev University, Faculty of Tourism and Business Logistics, Stip, Macedonia

Department of Tourism, Assistant Professor

Saso KOCESKI, Goce Delcev University, Faculty of Computer Science, Stip

Assistant Professor

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Published

21-12-2012

Issue

Section

Articles