A Multi-Level Tourism Destination Recommender System | Zendy

Hend Alrasheed | Zendy; Arwa Alzeer | Zendy; Arwa Alhowimel | Zendy; Nora shameri | Zendy; Aisha Althyabi | Zendy

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A Multi-Level Tourism Destination Recommender System

Author(s) -

Hend Alrasheed,

Arwa Alzeer,

Arwa Alhowimel,

Nora shameri,

Aisha Althyabi

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.03.047

Subject(s) - computer science , recommender system , tourism , popularity , destinations , service (business) , component (thermodynamics) , set (abstract data type) , world wide web , quality (philosophy) , marketing , business , psychology , social psychology , philosophy , physics , epistemology , thermodynamics , programming language , political science , law

There are multiple factors that play a significant role in determining a tourist choice of a vacation destination such as affordability, availability of activities, popularity, and safety. Despite the mass of content available on the World Wide Web, the efficiency of utilizing it to find a destination that meets all the criteria of a potential traveler is always questionable. Therefore, travel and tourism software tools tend to incorporate a recommender system component to enhance the quality of the service they provide. In this paper, we propose a simple multi-level tourism recommender system framework to assist potential travelers find the destination that best matches their preferences and requirements. The system incorporates two recommendation procedures: providing the user with a set of destinations liked by similar users to allow constructing a list of potential destinations. Then the system ranks the destinations on this list based on the user preferences and constraints.

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