Collecting the Tourism Contextual Information data to support the tourism recommendation system
Rico Yudha Saputra, Lukito Edi Nugroho, Sri Suning Kusumawardani · 2019 International Conference on Information and Communications Technology (ICOIACT) · 2019
Recommendation system requires supporting data that sometimes are heterogeneous either from its sources or from its data format. In the context of tourism recommendation system, a previous research resulted in the concept of collecting the Tourism Contextual Information (TCI) data to determine the relevant information as the support of tourism recommendation system. However, what things and how the data were collected have not been explained yet. By adopting the global Extract Transform Load (ETL) process, this research aims to show how the supporting data including the database structure, the data architecture, and the data representation in the tourism recommendation system are collected. The result of the research can be used for the need of further research - particularly on the tourism recommendation system considering the change of weather or traffic condition and its effect on making decision when planning a travel or a tour.