AI SearchDistributed online museum with recommendation system for museum pool application
Call Number: AIT Thesis no.DSAI-22-07 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. DSAI-22-07Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2022Description: 96 leaves : illSubject(s): Online resources: Dissertation note: Thesis (M. Eng.) - Asian Institute of Technology, 2022 Summary: 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.
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
67-Electronic Resource
|
Asian Institute of Technology Library Archives | AIT Thesis no.DSAI-22-07 (Browse shelf(Opens below)) | Not for loan | |||||||||||||||
40-Archives
|
Asian Institute of Technology Library Archives | AIT Thesis no.DSAI-22-07 (Browse shelf(Opens below)) | 1 | Available | 30050120899033 |
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.
There are no comments on this title.