Enhancing Travel Recommendations Through Attraction Preference Standardization

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Travel recommendation system, hybrid recommendation, collaborative filtering, contentbased filtering, sentiment analysis, user preferences, personalized recommendations
Subjects:	G Geography. Anthropology. Recreation > GV Recreation Leisure Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	04 Dec 2024 07:56
Last Modified:	04 Dec 2024 07:56
URI:	http://eprints.intimal.edu.my/id/eprint/2080

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