Intelligent Optimization Method of Resource Recommendation Service of Mobile Library Based on Digital Twin Technology.
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| Title: | Intelligent Optimization Method of Resource Recommendation Service of Mobile Library Based on Digital Twin Technology. |
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| Authors: | Shang, Shanshan1 (AUTHOR), Yu, Zikai2 (AUTHOR), Geng, Aili1 (AUTHOR), Xu, Xiuxiu1 (AUTHOR), Ma, Huizhen1 (AUTHOR), Wang, Guozhong3 (AUTHOR) |
| Source: | Computational Intelligence & Neuroscience. 8/27/2022, p1-10. 10p. |
| Subjects: | Mobile libraries, Digital twin, Library cooperation, Digital technology, Information retrieval, Intelligent transportation systems |
| Abstract: | In order to improve the Resource Recommendation and sharing ability of mobile library, an intelligent optimization model of Mobile Library Resource Recommendation Service Based on digital twin technology is proposed. Build the association rule feature distribution set of mobile library resource recommendation service, carry out text information retrieval in the process of Mobile Library Resource Recommendation and sharing, carry out semantic correlation feature registration according to the retrieval preference of mobile library reading user object, establish the association rule data set of mobile library reading user object preference for mobile library Resource Recommendation and sharing, carry out feature block processing, and analyze the library reader preference. Complete the collaborative filtering recommendation of Mobile Library Resource Recommendation sharing. The simulation results show that the collaborative recommendation under the intelligent optimization mode of mobile library resource recommendation service using this method has high accuracy and good confidence level, which improves the intelligent level of Mobile Library Resource Recommendation and user satisfaction. [ABSTRACT FROM AUTHOR] |
| Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | In order to improve the Resource Recommendation and sharing ability of mobile library, an intelligent optimization model of Mobile Library Resource Recommendation Service Based on digital twin technology is proposed. Build the association rule feature distribution set of mobile library resource recommendation service, carry out text information retrieval in the process of Mobile Library Resource Recommendation and sharing, carry out semantic correlation feature registration according to the retrieval preference of mobile library reading user object, establish the association rule data set of mobile library reading user object preference for mobile library Resource Recommendation and sharing, carry out feature block processing, and analyze the library reader preference. Complete the collaborative filtering recommendation of Mobile Library Resource Recommendation sharing. The simulation results show that the collaborative recommendation under the intelligent optimization mode of mobile library resource recommendation service using this method has high accuracy and good confidence level, which improves the intelligent level of Mobile Library Resource Recommendation and user satisfaction. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 16875265 |
| DOI: | 10.1155/2022/3582719 |
