Travelopia: A Tourism Recommendation System

S. S. Divyashree; K. Harshitha; Pradnya Hukkeri; A. M. Sharadhi; Dr. Bhagyshri R Hanji

Travelopia: A Tourism Recommendation System

S. S. Divyashree, K. Harshitha, Pradnya Hukkeri, A. M. Sharadhi, Dr. Bhagyshri R Hanji

Abstract

Recommendation Systems are one of the most appropriate applications of machine learning. They are the cluster of simple algorithms that provide the most significant and precise data as per the user's need. The Tourism domain is one of the predominant economic areas of a nation and the second-largest foreign exchange earner for India. They find relationships between users based on their actions, without any human curation involved at all. Travel Recommendation System (TRS) is a recommendation system used by tourists and travelers to fulfill their needs and make decisions about travel destinations, Points of Interest, restaurants, etc. The System Helps in making the tourism industry a "Smart Tourism Industry"

Keywords

Recommendation System, Filtering Approach, Association Rule Learning, Feature Selection.

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