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Study of Recommendation System Used In Tourism and Travel

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Study of Recommendation System Used In Tourism and Travel


Shikhar "Study of Recommendation System Used In Tourism and Travel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1, December 2021, pp.1028-1033, URL: https://www.ijtsrd.com/papers/ijtsrd47922.pdf

This study is based on Recommendation Systems and its Types used in Tourism and Travel Website. Recommendation Systems are used in websites so that it can recommend item to a user based on his/her interest and on the basis of user profile. In this paper, I design a recommender system for recommending tourist places based on content based and collaborative filtering techniques. This method combines both behavioural and content aspects of recommendations. The flow for the research is that first of all using cosine similarity, weighted ratings and Location APIs we build a content-based system. The process is carried out by comparing the features of the item with respect to the user’s preferences. Then followed by collaborative filtering techniques such as Correlation and K-Nearest neighbour in which items predict the interest of the user on an activity considering the evaluation that a particular user has given to similar activities.

content based, collaborative filtering, cosine similarity, kNN, Correlation

Volume-6 | Issue-1, December 2021
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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