Artificial intelligence in smart library: Developing a machine learning prediction model (Record no. 524650)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01600nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240109b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Daimari, Dersin, et al |
| 245 ## - TITLE STATEMENT | |
| Title | Artificial intelligence in smart library: Developing a machine learning prediction model |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | IASLIC Bulletin |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 68(1), Mar, 2023: p.47-54 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Purpose: Recent developments in artificial intelligence (AI) can transform the working practices of the modern library. However, modern libraries are one of the slowest institutions to adopt AI.This study explores how smart libraries might take advantage of machine learning (ML), a subfield of artificial intelligence (AI), to improve the quality of their services to the users. Methodology: Three cutting-edge machine learning algorithms are presented in this study for the task of identifying and classifying favorite books based on the data of Art Garfunkel's Library. Findings: The findings of this research work are drawn based on experiment results.The experiment results reveal that the proposed method obtained a test accuracy of 86.07% in identifying Favorite books. Originality: This is an empirical research work that looks at AI adoption in libraries using a machine learning model. To the best of our knowledge, this research is the first AI-based application for the modern library to automatically identify and classify Favorite books. – Reproduced http://www.iaslic1955.org.in/fckeditor/userfiles/file/Abstract,%20%20References%20&%20Author.pdf |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | IASLIC Bulletin |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | LIBRARIES |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-01-09 | 68(1), Mar, 2023: p.47-54 | AR130480 | 2024-01-09 | Articles |