Can Optimized Genetic Algorithms Improve the Effectiveness of Homestay Recommendation Systems in Smart Villages? A Case of Thailand

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dc.contributor.authorPannee Suanpang
dc.contributor.authorPitchaya Jamjuntr
dc.contributor.authorArunee Lertkornkitja
dc.contributor.authorChompunuch Jittithavorn
dc.contributor.correspondenceC. Jittithavorn; College of Management, University of Phayao, Bangkok, Thailand; email: chompunuchj@gmail.com
dc.date.accessioned2025-03-10T07:34:20Z
dc.date.available2025-03-10T07:34:20Z
dc.date.issued2024
dc.description.abstractThis paper introduces a novel approach to optimize genetic algorithms (GAs) for homestay recommendation systems, specifically designed for smart village tourism destinations. Researchers developed an advanced GA focused on maximizing user satisfaction, the main quality metric. The algorithm was tailored to address the dynamic nature of homestay offerings and the varied preferences of travelers, using users' reviews, listing attributes, and historical booking data. The GA framework included a custom encoding scheme, fitness function, and parameters. Validation occurred through a case study in a smart village, with the algorithm's effectiveness tested via user surveys and ratings. Results showed that GA-driven recommendations surpassed traditional methods, enhancing user satisfaction, trust, and booking rates while benefiting hosts with positive reviews. The optimized GA improved recommendation accuracy and efficiency, boosting economic benefits for local communities and contributing significantly to recommendation system research. © 2024 John Wiley & Sons Ltd.
dc.identifier.citationInternational Journal of Tourism Research
dc.identifier.doi10.1002/jtr.2762
dc.identifier.issn10992340
dc.identifier.scopus2-s2.0-85204302810
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4474
dc.languageEnglish
dc.publisherJohn Wiley and Sons Ltd
dc.rights.holderScopus
dc.subjectgenetic algorithm
dc.subjecthomestay recommendation
dc.subjectoptimized
dc.subjectsmart village
dc.subjectsustainable tourism
dc.titleCan Optimized Genetic Algorithms Improve the Effectiveness of Homestay Recommendation Systems in Smart Villages? A Case of Thailand
dc.typeArticle
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85204302810&doi=10.1002%2fjtr.2762&partnerID=40&md5=462d4d9878351a538f16b97f2cafb88e
oaire.citation.issue5
oaire.citation.volume26
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