基于多场景混合推荐算法的个性化数字资源推荐系统设计  

Design of Personalized Digital Resource Recommendation System Based on Multi-scene Hybrid Recommendation Algorithm

作　　者：满硕 刘博譞 MAN Shuo;LIU Boxuan(Shijiazhuang Vocational and Technical College of Post and Telecommunications Office of Teaching Affairs,Shijiazhuang 050000,China;Shijiazhuang Vocational and Technical College of Post and Telecommunications Department of Computer Science,Shijiazhuang 050000,China)

机构地区：[1]石家庄邮电职业技术学院教务处,石家庄050000 [2]石家庄邮电职业技术学院计算机系,石家庄050000

出　　处：《移动信息》2024年第10期273-275,共3页Mobile Information

摘　　要：数字时代使知识获取的方式发生了巨大改变,但也导致学习者在面对大量网络数字资源时容易出现信息过载的问题,而现有推荐策略较为单一,难以满足学习者在不同学习场景下的个性化需求。文中基于混合设计理念,针对学习者在不同场景下的需求和特征,综合考虑学习者产生的数据结构差异,优化了传统推荐算法,设计了基于多场景混合推荐算法的个性化数字资源推荐系统,以便在不同场景下向学生精准推送资源。The digital age has greatly changed the way of knowledge acquisition,but it also leads to the problem of information overload when learners face a large number of network digital resources,and the existing recommendation strategy is relatively single,which is difficult to meet the individual needs of learners in different learning scenarios.Based on the concept of hybrid design,according to the needs and characteristics of learners in different scenarios,comprehensively consider the differences in data structure generated by learners,optimize traditional recommendation algorithms,and design a personalized digital resource recommender system based on multi-scenario hybrid recommendation algorithm to accurately push resources to students in different scenarios.

关 键 词：混合推荐算法 个性化数字资源 学习资源推荐 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]