Description
Recently, recommendation systems have become an active topic. Studies indicated that existing tourism recommendation systems provide misleading recommendations that do not actually meet tourist’s expectations. One of the main reasons for this problem is that most of these systems neglect previous user reviews. This paper proposes a tourism recommendation system with the integration of the user review element. Based on three factors- number of reviews, rating, and sentiment, the user reviews are analyzed and then used in the recommendation of hotels for tourists. — Recently, recommendation systems have become an active topic. Studies indicated that existing tourism recommendation systems provide misleading recommendations that do not actually meet tourist’s expectations. One of the main reasons for this problem is that most of these systems neglect previous user reviews. This paper proposes a tourism recommendation system with the integration of the user review element. Based on three factors- number of reviews, rating, and sentiment, the user reviews are analyzed and then used in the recommendation of hotels for tourists.
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