TY  - SER
AU  - Phanchayapit Chanyapisit  
AU  - Chutiporn Anutariya,
AU  - La-or Kovavisaruch,
AU  - Dailey,Matthew N.
ED  - Royal Thai Government,
ED  - AIT Scholarships,
TI  - Distributed online museum with recommendation system for museum pool application
T2  - Thesis
PY  - 2022///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Web applications
KW  - Recommender systems (Information filtering)
KW  - Museums
KW  - Data processing
N1  - A thesis submitted in partial fulfillment of the requirements for the  degree of Master of Engineering in Data Science and Artificial Intelligence, School of Engineering and Technology; Thesis (M. Eng.) - Asian Institute of Technology, 2022
N2  - Visiting museums provides various benefits to visitors, such as providing intriguing  history, culture of a certain location, and inspiring visitors via displays. In recent years  many public sites have been forced to close temporarily due to the coronavirus  epidemic. Furthermore, there are other barriers that may hinder tourists from  physically visiting the museum, such as health issues, geography, and time  constraints. So, web-based technologies can assist in improving the design of online  learning environments for museum. Due to large amounts of data might make it  difficult for a user to locate interesting stuff. As a result, the goal of this study is to  create an online tour platform for Museum Pool, where users may browse by type of  museum and the platform would suggest related artefacts based on recommendation  systems. Furthermore, the result accuracy of classification type of museum still  moderated. And the recommended still need to evaluate by user satisfy rating on  website.
UR  - http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B20420
ER  -