A personalized travel recommendation system that uses matrix factorization and lightGCN on Yelp dataset, integrating attractions, hotels, and restaurants in one website.
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Apr 14, 2023 - Jupyter Notebook
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travel-recommender
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Analysis of the use of Artificial Intelligence techniques in the Tourism websites of travel destinations
ai tourism analysis travel artificial-intelligence recommender-system recommender-systems travel-planner tourism-management tourism-website artificial-intelligence-application travel-recommender
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Feb 5, 2020
Collaborative Filtering and Sequential Recommender System for exploring new destinations.
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Apr 28, 2023 - Python
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.
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Sep 8, 2024 - Prolog
WonderLust is a Python-based travel recommendation system that suggests destinations based on user preferences. The program processes structured data using dictionaries and sets while incorporating error handling and user interaction. Developed for the Information Structures with Python course.
python university-project python-programming data-structures error-handling decision-support user-input travel-recommender
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Mar 10, 2025 - Python
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