Enhancing Travel Recommendations Through Attraction Preference Standardization
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| 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 |
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| Summary: | 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 and adopting sentiments obtained from the rating. The
following are the steps of the implementation of the study; data collection, data pre-processing,
data modelling and the last is the development of web application. Actual analysis proves that
there was a general enhancement in the precision of the recommendation and also the
satisfaction level of the customers. |
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