Knowledge based topic retrieval for recommendations and tourism promotions

International Journal of Information Management Data Insights(2023)

Cited 3|Views4
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Abstract
•Utilizing the review and blog data to predict ratings using random forest and decision tree classifiers.•Perform topic modeling and clustering from review data to represent the knowledge.•Determine the salience and valence of topics to provide feedback.•Developed a recommendation system using users’ preferences, knowledge, and valence to promote tourism.
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Key words
Tourism,Online reviews,Machine learning,Recommender system,Predicting ratings,Feedback model,Yelp,Restaurants
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