Analysis of the use of Artificial Intelligence techniques in the Tourism websites of travel destinations

A personalized travel recommendation system that uses matrix factorization and lightGCN on Yelp dataset, integrating attractions, hotels, and restaurants in one website.

Collaborative Filtering and Sequential Recommender System for exploring new destinations.

The recommendations consider various factors such as budget, climate, safety rating, transportation, cost of living, and preferred attraction categories. If a perfect match isn't found, the system suggests cities with similar attractions to the user's preferences.