Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence
University libraries are undergoing a critical transformation and enhancement phase in their research intelligence services. The evolution of research demands and the exponential growth of information have rendered traditional service models inadequate for meeting faculty and students’ precise and p...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns-2024-0758 |
| _version_ | 1797229603365847040 |
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| author | Liu Mengjia |
| author_facet | Liu Mengjia |
| author_sort | Liu Mengjia |
| collection | DOAJ |
| description | University libraries are undergoing a critical transformation and enhancement phase in their research intelligence services. The evolution of research demands and the exponential growth of information have rendered traditional service models inadequate for meeting faculty and students’ precise and personalized requirements. To address this challenge, libraries must adopt innovative service strategies that leverage technological advancements and optimize service processes. Such strategies are vital for enhancing the efficiency of access and the value of information resources, thereby bolstering high-quality academic research and teaching. This paper presents an optimized design for the existing research information service system, identifying key challenges within university library research services and introducing an improvement plan rooted in artificial intelligence (AI) technology. Empirical research indicates that the proposed system boosts information retrieval speed by 30%, user satisfaction by 25%, and research support efficiency by 40%. The enhanced research intelligence service system significantly elevates university libraries’ service capabilities and research support functions, offering more effective and precise information services to the academic community. |
| first_indexed | 2024-04-24T15:15:13Z |
| format | Article |
| id | doaj.art-ace84a9ab4634f74b67c956182281479 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-04-24T15:15:13Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-ace84a9ab4634f74b67c9561822814792024-04-02T09:28:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0758Construction of Research Intelligence Service System for College Libraries in the Era of Artificial IntelligenceLiu Mengjia01Tianjin Sino-German University of Applied Sciences, Tianjin, 300350, China.University libraries are undergoing a critical transformation and enhancement phase in their research intelligence services. The evolution of research demands and the exponential growth of information have rendered traditional service models inadequate for meeting faculty and students’ precise and personalized requirements. To address this challenge, libraries must adopt innovative service strategies that leverage technological advancements and optimize service processes. Such strategies are vital for enhancing the efficiency of access and the value of information resources, thereby bolstering high-quality academic research and teaching. This paper presents an optimized design for the existing research information service system, identifying key challenges within university library research services and introducing an improvement plan rooted in artificial intelligence (AI) technology. Empirical research indicates that the proposed system boosts information retrieval speed by 30%, user satisfaction by 25%, and research support efficiency by 40%. The enhanced research intelligence service system significantly elevates university libraries’ service capabilities and research support functions, offering more effective and precise information services to the academic community.https://doi.org/10.2478/amns-2024-0758artificial intelligenceresearch intelligence serviceuniversity libraryinformation retrieval97n80 |
| spellingShingle | Liu Mengjia Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence Applied Mathematics and Nonlinear Sciences artificial intelligence research intelligence service university library information retrieval 97n80 |
| title | Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence |
| title_full | Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence |
| title_fullStr | Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence |
| title_full_unstemmed | Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence |
| title_short | Construction of Research Intelligence Service System for College Libraries in the Era of Artificial Intelligence |
| title_sort | construction of research intelligence service system for college libraries in the era of artificial intelligence |
| topic | artificial intelligence research intelligence service university library information retrieval 97n80 |
| url | https://doi.org/10.2478/amns-2024-0758 |
| work_keys_str_mv | AT liumengjia constructionofresearchintelligenceservicesystemforcollegelibrariesintheeraofartificialintelligence |