Distributed online museum with recommendation system for museum pool application | |
| Author | Phanchayapit Chanyapisit |
| Call Number | AIT Thesis no.DSAI-22-07 |
| Subject(s) | Web applications Recommender systems (Information filtering) Museums--Data processing |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Data Science and Artificial Intelligence |
| Publisher | Asian Institute of Technology |
| Abstract | 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. |
| Year | 2022 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Data Science and Artificial Intelligence (DSAI) |
| Chairperson(s) | Chutiporn Anutariya;La-or Kovavisaruch (Co-chairperson) |
| Examination Committee(s) | Dailey, Matthew N. |
| Scholarship Donor(s) | Royal Thai Government;AIT Scholarships |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2022 |