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The Users regularly share their views on services through internet reviews. Digital tourism allows travelers to plan and manage their trips ahead of time using the internet. The proposed system will enable users to create recommender systems that can help to find new places as per individual interests. The portals such as Tripadvisor and Yelp assist travelers in decision-making and providing feedback. The data available in the form of reviews, blogs, and rating help the researcher build a better recommendation and promotion system. The recommendation system will help tourists discover restaurants often ignored due to a lack of promotion. This research proposes an automated system to perform three subtasks: predicting star ratings from reviews, a feedback model, and a knowledge-based recommender system. The experimental work results show that Random Forest and Decision Tree classifiers give the …