Enhancing Travel Recommendations Through Attraction Preference Standardization

• Main Authors: Saketha, N., Chitra, K.
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: GV Recreation Leisure; QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General)
• Online Access: http://eprints.intimal.edu.my/2080/1/joit2024_35.pdf; http://eprints.intimal.edu.my/2080/2/621; http://eprints.intimal.edu.my/2080/; http://ipublishing.intimal.edu.my/joint.html

The subsequent paper describes a typical travel recommendation system that comprises collaborative filtering, content-based filtering, and sentiment analysis in its design. The proposed system enhances the problems of conventional methods by using operation preferences to standardize attraction a...