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...
| 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/ http://eprints.intimal.edu.my/2080/2/621 http://eprints.intimal.edu.my/2080/3/joit2024_35b.pdf |
| _version_ | 1848766914620293120 |
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| author | Saketha, N. Chitra, K. |
| author_facet | Saketha, N. Chitra, K. |
| author_sort | Saketha, N. |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:58:43Z |
| format | Article |
| id | intimal-2080 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:58:43Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-20802025-07-12T03:02:04Z http://eprints.intimal.edu.my/2080/ Enhancing Travel Recommendations Through Attraction Preference Standardization Saketha, N. Chitra, K. GV Recreation Leisure QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) 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. INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2080/2/621 text en cc_by_4 http://eprints.intimal.edu.my/2080/3/joit2024_35b.pdf Saketha, N. and Chitra, K. (2024) Enhancing Travel Recommendations Through Attraction Preference Standardization. Journal of Innovation and Technology, 2024 (35). pp. 1-6. ISSN 2805-5179 http://ipublishing.intimal.edu.my/joint.html |
| spellingShingle | GV Recreation Leisure QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) Saketha, N. Chitra, K. Enhancing Travel Recommendations Through Attraction Preference Standardization |
| title | Enhancing Travel Recommendations Through Attraction Preference
Standardization |
| title_full | Enhancing Travel Recommendations Through Attraction Preference
Standardization |
| title_fullStr | Enhancing Travel Recommendations Through Attraction Preference
Standardization |
| title_full_unstemmed | Enhancing Travel Recommendations Through Attraction Preference
Standardization |
| title_short | Enhancing Travel Recommendations Through Attraction Preference
Standardization |
| title_sort | enhancing travel recommendations through attraction preference
standardization |
| topic | GV Recreation Leisure QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) |
| url | http://eprints.intimal.edu.my/2080/ http://eprints.intimal.edu.my/2080/ http://eprints.intimal.edu.my/2080/2/621 http://eprints.intimal.edu.my/2080/3/joit2024_35b.pdf |