高校电子文献资源智能推荐系统的架构设计与核心策略研究

胡国强

doi:10.11959/j.issn.1000-436x.2024240

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高校电子文献资源智能推荐系统的架构设计与核心策略研究

智慧校园 | 更新时间：2024-12-31

- 高校电子文献资源智能推荐系统的架构设计与核心策略研究
- Research on architecture design and core strategy of intelligent recommendation system for electronic literature resources in colleges and universities
- 通信学报 2024年45卷第Z2期页码：160-167
- 作者机构：
  
  西北农林科技大学网络与教育技术中心，陕西咸阳 712100
- 作者简介：
  
  [ "胡国强（1981-），男，陕西周至人，西北农林科技大学高级工程师，主要研究方向为信息网络技术应用与教育信息化。" ]
- 基金信息：
  
  陕西省自然科学基础研究计划基金资助项目(2023-JC-YB-489)
- DOI：10.11959/j.issn.1000-436x.2024240
  中图分类号： TP391.3;G258.6;G250.7
- 收稿日期：2024-08-21，
  
  纸质出版日期：2024-11-30
- 稿件说明：
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胡国强.高校电子文献资源智能推荐系统的架构设计与核心策略研究[J].通信学报,2024,45(Z2):160-167.

HU Guoqiang.Research on architecture design and core strategy of intelligent recommendation system for electronic literature resources in colleges and universities[J].Journal on Communications,2024,45(Z2):160-167.
胡国强.高校电子文献资源智能推荐系统的架构设计与核心策略研究[J].通信学报,2024,45(Z2):160-167. DOI： 10.11959/j.issn.1000-436x.2024240.

HU Guoqiang.Research on architecture design and core strategy of intelligent recommendation system for electronic literature resources in colleges and universities[J].Journal on Communications,2024,45(Z2):160-167. DOI： 10.11959/j.issn.1000-436x.2024240.

摘要

为了方便师生在海量电子文献中快速定位所需文献资源，提高电子文献资源使用效率，实现文献推荐服务个性化、精准化，设计了高校电子文献资源智能推荐系统。首先，利用文献法分析了高校电子文献智能推荐系统实现存在的问题；然后，基于这些问题设计了一种包含数据采集层、数据挖掘层、推荐大脑层、应用服务层、信息标准化体系及安全与运行维护体系的高校电子文献资源智能推荐系统；最后，介绍了该系统的核心策略与算法。在我校实践应用表明，该系统能为用户推荐感兴趣的电子文献资源，能为其他高校个性化电子文献智能推荐系统的落地提供参考。

Abstract

In order to facilitate teachers and students to quickly locate the required literature resources in the massive electronic literature

improve the efficiency of electronic literature resource utilization

and achieve personalized and accurate literature recommendation services

a university electronic literature resource intelligent recommendation system was designed. Firstly the problems existing in the implementation of the intelligent recommendation system for university electronic literature were analyzed using the literature method. On these problems

a university electronic literature resource intelligent recommendation system was designed

which includes a data collection layer

a data mining layer

a recommendation brain layer

an application service layer

an information standardization system

and a security and operation maintenance system. Finally

the core strategies and algorithms of the system were introduced. Practical application in our university has shown that the system can recommend electronic literature resources of interest to users and provide reference for the implementation of personalized electronic literature intelligent recommendation systems in other universities.

关键词

Keywords

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