Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5–6, 2020, Proceedings

Research Article

Constructing a Customized Travel Scheduling Recommendation Service Based on Personal Preference and Special Requirements

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  • @INPROCEEDINGS{10.1007/978-3-030-69514-9_32,
        author={Chia-Ling Ho and Pei-Syuan Li and Ying-Ching Wang and Peng-Yu Chou and Yan-Ling Pan and Shi-Ting Chen},
        title={Constructing a Customized Travel Scheduling Recommendation Service Based on Personal Preference and Special Requirements},
        proceedings={Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5--6, 2020, Proceedings},
        proceedings_a={SGIOT},
        year={2021},
        month={7},
        keywords={Travel itinerary Personalized travel itinerary Personal preferences Travel restrictions},
        doi={10.1007/978-3-030-69514-9_32}
    }
    
  • Chia-Ling Ho
    Pei-Syuan Li
    Ying-Ching Wang
    Peng-Yu Chou
    Yan-Ling Pan
    Shi-Ting Chen
    Year: 2021
    Constructing a Customized Travel Scheduling Recommendation Service Based on Personal Preference and Special Requirements
    SGIOT
    Springer
    DOI: 10.1007/978-3-030-69514-9_32
Chia-Ling Ho1, Pei-Syuan Li2, Ying-Ching Wang2, Peng-Yu Chou2, Yan-Ling Pan2, Shi-Ting Chen2
  • 1: National Taipei University of Nursing and Health Sciences
  • 2: Taipei City University of Science and Technology

Abstract

With the rapid development of the Internet, a variety of Internet services can break national and language boundaries, such as airline ticket booking, hotel booking, Airbnb, ticket booking, car rental service, and travel experience sharing. These online services help self-guided travelers collect data and compare prices or services as they plan their trips, but there still lack a one-stop automated travel planning services on the Internet. The purpose of this study is to design a set of personalized travel itinerary recommendation services based on personal preferences, in the hope that users can save time of data collection and maintain tourism quality when planning their self-guided travel itinerary to foreign countries. The system selects the recommended travel itineraries according to the expert-recommended travel database, personal preference, and travel restrictions, and users can modify the suggested travel itineraries according to personal needs in order to obtain their final travel itineraries.