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- 주제어 : tourism route recommendation (검색결과 4 건)
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Liu Hui 한국인터넷정보학회 2024 KSII Transactions on Internet and Information Syst Vol.18 No.5
This paper tackles the prevalent challenges faced by existing tourism route recommendation methods, including data sparsity, cold start, and low accuracy. To address these issues, a novel intelligent tourism route recommendation method based on collaborative filtering is introduced. The proposed method incorporates a series of key steps. Firstly, it calculates the interest level of users by analyzing the item attribute rating values. By leveraging this information, the method can effectively capture the preferences and interests of users. Additionally, a user attribute rating matrix is constructed by extracting implicit user behavior preferences, providing a comprehensive understanding of user preferences. Recognizing that user interests can evolve over time, a weight function is introduced to account for the possibility of interest shifting during product use. This weight function enhances the accuracy of recommendations by adapting to the changing preferences of users, improving the overall quality of the suggested tourism routes. The results demonstrate the significant advantages of the approach. Specifically, the proposed method successfully alleviates the problem of data sparsity, enhances neighbor selection, and generates tourism route recommendations that exhibit higher accuracy compared to existing methods.
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장애인 유형별 제약요인을 고려한 무장애 관광 코스 추천 알고리즘 개발
조병주,고영관,고영대 한국호텔관광학회 2023 호텔관광연구 Vol.25 No.12
This study aims to develop a mathematical algorithm to provide a tourism route that maximizes the satisfaction of disabled tourists with the trend that the number of disabled tourists and the recognition of tourism as a fundamental right spread around the world. The algorithm is based on preferences and stay times at tourist destinations, and these are derived through accessibility to tourist destinations for different disability types. The optimal tourism route is provided within the daily available tourism time based on the assumption that as the accessibility of a tourist destination increases, the satisfaction of disabled tourists rises, and the extended stay times decrease. An optimization technique based on a mathematical model composed of an objective function to maximize the satisfaction of disabled tourists and other constraint equations is applied. The results are derived using IBM ILOG CPLEX Optimization Studio. Through numerical experiments, tourist destinations with high accessibility were prioritized, and differences in tourist destinations visited by different disability types emerged due to variations in stay time. This study is significant in that it enables balanced tourism participation for both the disabled and the non-disabled people by maximizing the tourism satisfaction of people with disabilities. Also, it is anticipated to contribute to the expansion of tourism facilities for the disabled people and to raise social awareness.
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황인태,김흥섭 한국산업경영시스템학회 2017 한국산업경영시스템학회지 Vol.40 No.3
With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.
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New Mathematical Model for Travel Route Recommendation Service
Intae Hwang(황인태),Heungseob Kim(김흥섭) 한국산업경영시스템학회 2017 한국산업경영시스템학회지 Vol.40 No.3
With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.
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