[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-26-07-2022-239

Title : Fusion Model Recommender For Tourism
S.Jagadeesh, Sadipirlla Bhavitha, Nakkalaganti Harika, Jatavath Shirisha

Abstract :

These days, most people who plan a trip are first taking initiation to search the locations through the internet. However, travelers usually have a very limited knowledge about the locations and the information about the locations. The tourists can actually find a lot of information about the places through surrounding people and internet. But, it takes a very large time for him to search and the places in an organized way. So, this paper proposes a Recommendation System for tourists based on their interests. The interests of tourists are known by accessing their social media profile, based on their ratings that are given by them during the previous trips and based on the reviews.