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Travelopia: A Tourism Recommendation System


Affiliations
1 Department of CSE, Global Academy of Technology, Bengaluru, India
2 Department of CSE, Global Academy of Technology,Bengaluru, India
3 HOD, Department of CSE, Global Academy of Technology, Bengaluru, India
     

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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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  • Travelopia: A Tourism Recommendation System

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Authors

S. S. Divyashree
Department of CSE, Global Academy of Technology, Bengaluru, India
K. Harshitha
Department of CSE, Global Academy of Technology, Bengaluru, India
Pradnya Hukkeri
Department of CSE, Global Academy of Technology,Bengaluru, India
A. M. Sharadhi
Department of CSE, Global Academy of Technology, Bengaluru, India
Bhagyshri R Hanji
HOD, Department of CSE, Global Academy of Technology, Bengaluru, India

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.

References