Improved Hotel Recommendation System Using Machine Learning Technique

Abstract

The report below shows how a hotel suggestion system based on the user's location was implemented. Many methods are utilized to raise the accuracy percentage; numerous academics have worked in this field and implemented algorithms, like random forest, Naive Bayes, Link prediction, J48. Basically, random forest algorithm is used to attain a better rate of prediction accuracy. In terms of both time and money, it's critical to choose a hotel promptly for a specific location. In general, pricing and user reviews have been used as factors for picking hotels, with the hotels that are supposed to be both cost effective and high rating score. On the other hand, as the number of hotels in the area grows, Customers have difficulty easily locating the desired hotel.