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.
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Ho, CL., Li, PS., Wang, YC., Chou, PY., Pan, YL., Chen, ST. (2021). Constructing a Customized Travel Scheduling Recommendation Service Based on Personal Preference and Special Requirements. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_32
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DOI: https://doi.org/10.1007/978-3-030-69514-9_32
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