Recommending Ideal Holiday at National Level

作者: Saso Koceski , Biljana Petrevska

DOI:

关键词: Outcome (game theory)Process (engineering)Order (business)TourismCollaborative filteringIdeal (set theory)Recommender systemMarketingEngineeringIdentification (information)

摘要: The paper underlines the importance of meeting and fulfilling travelers’ tourists’ preferences by introducing personalized recommendation system. proposed web-based software model employs process collaborative filtering in order to assist tourists identification their ideal holiday. research outcome is creation generated list favorable tailor-made potential items for all visitors designed tourism portal. accuracy testing performed highly satisfactory results thus reporting on positive practical experience at national level.

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