Enhancing Travel Recommendations Through Attraction Preference Standardization

Abstract

The subsequent paper describes a typical travel recommendation system that comprises
collaborative filtering, content-based filtering, and sentiment analysis in its design. The
proposed system enhances the problems of conventional methods by using operation
preferences to standardize attraction and adopting sentiments obtained from the rating. The following are the steps of the implementation of the study; data collection, data pre-processing, data modelling and the last is the development of web application. Actual analysis proves that there was a general enhancement in the precision of the recommendation and also the satisfaction level of the customers.