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Title: :  Personalized Travel Recommendation System Using Machine Learning
PaperId: :  20353
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20353
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhargava H CBangalore Institute Of Technology
Vijay Bangalore Institute Of Technology
Suhas M Bangalore Institute Of Technology
Yashas VBangalore Institute Of Technology
Prof. Sunanda H GBangalore Institute Of Technology

Abstract

Machine Learning
Recommendation systems, Personalized travel recommendation system, Machine Learning, Cosine similarity, SVD algorithm
The tourism industry significantly contributes to economic development and can greatly benefit from the utilization of recommendation systems. These computer-based tools aim to predict and suggest items of high interest to users from a vast pool, facilitating personalized choices aligned with their preferences and interests. By leveraging user and item attributes alongside specific algorithms, recommendation systems address the challenge of data overload on the World Wide Web. Their primary purpose is to offer users a curated selection of products or content, eliminating the need to sift through a massive number of web pages. However, the tourism industry currently lacks a platform that provides personalized information about tourist attractions. To bridge this gap, we propose a hybrid approach that combines content and collaborative filtering methods to develop a personalized travel recommendation system. This system takes into account user preferences, profiles, and past experiences to recommend the best attractions in a specific location. By analyzing the preferences and behaviors of users, as well as their appreciation of previously visited places, the system generates accurate and tailored recommendations. Our research focuses on building a robust recommendation system for the tourism industry, aiming to enhance the overall tourist experience. The system goes beyond simple location-based suggestions by considering individual preferences and interests. With the ability to recommend not only attractions but also local dining and shopping options, the system provides comprehensive support for travelers, making their trip planning process more efficient and enjoyable. In conclusion, our personalized travel recommendation system utilizes a hybrid approach, leveraging content and collaborative filtering techniques, to offer accurate and tailored suggestions to tourists. By providing personalized information about local attractions and facilitating choices aligned with user preferences, our system aims to enhance the tourist experience and contribute to the growth of the tourism industry.

Citations

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IJARIIE Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. "Personalized Travel Recommendation System Using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 1612-1617
MLA Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. "Personalized Travel Recommendation System Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 1612-1617.
APA Bhargava H C, Vijay , Suhas M , Yashas V, & Prof. Sunanda H G. (2023). Personalized Travel Recommendation System Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 1612-1617.
Chicago Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. "Personalized Travel Recommendation System Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 1612-1617.
Oxford Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. 'Personalized Travel Recommendation System Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 1612-1617. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Personalized_Travel_Recommendation_System_Using_Machine_Learning_ijariie20353.pdf (Accessed : 20 May 2023).
Harvard Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. (2023) 'Personalized Travel Recommendation System Using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 1612-1617IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Personalized_Travel_Recommendation_System_Using_Machine_Learning_ijariie20353.pdf (Accessed : 20 May 2023)
IEEE Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G, "Personalized Travel Recommendation System Using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 1612-1617, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Personalized_Travel_Recommendation_System_Using_Machine_Learning_ijariie20353.pdf [Accessed : 20 May 2023].
Turabian Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. "Personalized Travel Recommendation System Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (20 May 2023).
Vancouver Bhargava H C, Vijay , Suhas M , Yashas V, and Prof. Sunanda H G. Personalized Travel Recommendation System Using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 20 May 2023]; 9(3) : 1612-1617. Available from: https://ijariie.com/AdminUploadPdf/Personalized_Travel_Recommendation_System_Using_Machine_Learning_ijariie20353.pdf
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