算法推荐视域下高校教育资源的优化配置与个性化服务研究  

Research on Optimizing the Allocation and Personalized Services of HigherEducation Resources from the Perspective of Algorithm Recommendation

作　　者：陈修安 覃颖 Xiu'an Chen;Ying Qin(Hebei University of Technology,Tianjin 300131)

机构地区：[1]河北工业大学,天津300131

出　　处：《教育教学研究前沿》2024年第2期1-4,共4页

摘　　要：随着信息技术的不断发展和应用,高校教育资源的管理和服务也面临着新的挑战和机遇。而算法推荐技术是一种基于用户行为和偏好数据的智能推荐系统,通过分析大量数据,利用各种算法模型,为用户提供个性化的产品或服务推荐。在算法推荐视域下研究高校教育资源的优化配置与个性化服务,不仅能够提高教育资源的利用效率,还能够满足不同用户群体的个性化需求,提升教育服务的质量和用户满意度。对此,通过阐述高校教育资源现状,分析算法推荐技术在高校教育资源优化配置中的应用策略,进而研究算法推荐技术在高校教育个性化服务中的应用策略,以期为高校教育资源的管理和服务提供新的思路和方法。With the continuous development and application of information technology,the management and service of educational resources in universities are also facing new challenges and opportunities.Algorithm recommendation technology is an intelligent recommendation sys-tem based on user behavior and preference data.By analyzing a large amount of data and utilizing various algorithm models,it provides per-sonalized product or service recommendations to users.Studying the optimization configuration and personalized services of educational resources in universities from the perspective of algorithmic recommendation can not only improve the efficiency of educational resource uti-lization,but also meet the personalized needs of different user groups,improve the quality and user satisfaction of educational services.In this regard,by elaborating on the current situation of higher education resources,analyzing the application strategies of algorithm recommen-dation technology in optimizing the allocation of higher education resources,and further studying the application strategies of algorithm rec-ommendation technology in personalized services of higher education,in order to provide new ideas and methods for the management and service of higher education resources.

关 键 词：算法推荐 高校教育资源 优化配置 个性化服务 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]