02917nas a2200421 a 4500 20260818094026.0 240229s2022 th u m tt 000 a eng d .b12421698 AIT Thesis no.DSAI-22-07 Phanchayapit Chanyapisit Distributed online museum with recommendation system for museum pool application Pathum Thani, Thailand : Asian Institute of Technology, 2022 96 leaves : ill. Thesis ; no. DSAI-22-07 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 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. Web applications Recommender systems (Information filtering) Museums Data processing Chutiporn Anutariya, Chairperson La-or Kovavisaruch, Co-chairperson Dailey, Matthew N., Examination Committee Royal Thai Government, Scholarship Donor AIT Scholarships, Scholarship Donor Asian Institute of Technology. Thesis ; no. DSAI-22-07 Full-Text http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B20420 .b12421698 mnait a 250307 0 240314 m a a 0 mnarc mnarc 67 40 Barcode : - CREATED : 2024-02-29 RECORD # : i13487905 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120899033 CREATED : 2025-07-03 RECORD # : i13537179 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 31074 31074 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.DSAI-22-07 2026-08-18 09:40:26 2026-08-18 67 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.DSAI-22-07 30050120899033 2026-08-18 09:40:26 1 2026-08-18 40