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| Main Author: | |
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=EJ1248310 |
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| _version_ | 1867181766872137728 |
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| author | Liu, Yan |
| author_facet | Liu, Yan Liu, Yan |
| collection | Education Resources Information Center |
| contents | Survey of Intelligent Recommendation of Academic Information in University Libraries Based on Situational Perception Method Liu, Yan Academic Libraries Library Services Information Systems Universities Information Needs Electronic Libraries Information Retrieval Based on the context-aware environment, in this paper, the adaptive interest models are reviewed. And the academic information intelligent recommendation systems of university libraries are presented based on the situational awareness-related theory method, where the current situation and trend of situational awareness-related theory and service of intelligent recommendation systems are investigated. Meanwhile, the potential research directions, basic ideas and methods are also presented. The adaptive model and architecture of the academic information recommendation system are built based on situational awareness, and the collaborative filtering information recommendation algorithm is studied based on spatial-temporal similarity relationship to obtain the interest of scientific and technological scholars. Combining with the adaptive interest model, an academic information demand model is established. On this basis, the prototype system of academic information recommendation is further studied to realize personalized recommendation of academic information based on the situational perception. This paper will provide effective solutions to the digital resources service of university libraries and the academic information recommendation needs of scientific and technological scholars. |
| format | Recurso educativo Open Access |
| id | eric_EJ1248310 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2020 |
| record_format | eric |
| spellingShingle | Survey of Intelligent Recommendation of Academic Information in University Libraries Based on Situational Perception Method Liu, Yan Academic Libraries Library Services Information Systems Universities Information Needs Electronic Libraries Information Retrieval Survey of Intelligent Recommendation of Academic Information in University Libraries Based on Situational Perception Method Liu, Yan Academic Libraries Library Services Information Systems Universities Information Needs Electronic Libraries Information Retrieval Based on the context-aware environment, in this paper, the adaptive interest models are reviewed. And the academic information intelligent recommendation systems of university libraries are presented based on the situational awareness-related theory method, where the current situation and trend of situational awareness-related theory and service of intelligent recommendation systems are investigated. Meanwhile, the potential research directions, basic ideas and methods are also presented. The adaptive model and architecture of the academic information recommendation system are built based on situational awareness, and the collaborative filtering information recommendation algorithm is studied based on spatial-temporal similarity relationship to obtain the interest of scientific and technological scholars. Combining with the adaptive interest model, an academic information demand model is established. On this basis, the prototype system of academic information recommendation is further studied to realize personalized recommendation of academic information based on the situational perception. This paper will provide effective solutions to the digital resources service of university libraries and the academic information recommendation needs of scientific and technological scholars. |
| title | Survey of Intelligent Recommendation of Academic Information in University Libraries Based on Situational Perception Method |
| topic | Academic Libraries Library Services Information Systems Universities Information Needs Electronic Libraries Information Retrieval |
| url | https://eric.ed.gov/?id=EJ1248310 |