Title : PERSONALIZED TRAVEL RECOMMENDATION SYSTEM BY USING USER-BASED COLLABORATIVE FILTERING METHOD

Keywords : Recommendation System, Personalization, User-based Collaborative Filtering

Authors : Tin Nilar Win

Publication Date : 2020-08-03

Description : The huge amount of data in mobile business processes and physical limitations have increased the importance of personalization process. Recommendation system can aid users in discovering information or items in a personalized manner. Personalization constitutes tailoring a service or a product to accommodate specific individuals. The users are flooded with so much of choices that it is hard for them to find appropriate and suitable information in tourism field. Personalized travel recommendation system can help customers in travel planning because it may be so complicated and confusing to process a lot of information on the travel sites. Collaborative filtering method compares the user’s past ratings with those of other users (neighbors) to find users with similar preferences. Highly rated items by these neighbors will be recommended. In this research, the system suggests personalized travel locations to users based on their rating profiles and interests by using user-based collaborative filtering method.