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

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-09-17 DOI:10.1002/jtr.2762

Pannee Suanpang, Pitchaya Jamjuntr, Arunee Lertkornkitja, Chompunuch Jittithavorn

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Abstract

This 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.

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优化遗传算法能否提高智慧乡村民宿推荐系统的效率？泰国案例

本文介绍了一种为民宿推荐系统优化遗传算法（GA）的新方法，专门针对智慧乡村旅游目的地而设计。研究人员开发了一种先进的遗传算法，重点关注用户满意度（主要质量指标）的最大化。该算法利用用户评论、列表属性和历史预订数据，针对民宿产品的动态性质和旅行者的不同偏好进行了定制。GA 框架包括自定义编码方案、拟合函数和参数。通过在一个智慧村庄进行的案例研究对算法进行了验证，并通过用户调查和评价对算法的有效性进行了测试。结果表明，GA 驱动的推荐超越了传统方法，提高了用户满意度、信任度和预订率，同时也使获得好评的房东受益。优化后的 GA 提高了推荐的准确性和效率，促进了当地社区的经济效益，为推荐系统研究做出了重大贡献。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.