Travel planning in a new city or a country is tedious and time consuming as the traveller has zero or minimal knowledge on which locations to visit in the new region. To overcome this problem many commercial solutions such as TripAdvisor and Google Trips, as well as research level solutions have been introduced. Even though these solutions are capable of reducing the information overload to the user, they do not perform any personalization in making travel recommendations. Therefore, the need for a recommendation system that is capable of extracting the user's personal travel preferences more accurately is still significant.
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