基于学习风格的个性化推荐系统设计研究

Research on the Design of Personalized Recommendation System Based on Learning Style

大数据时代下,网络平台上有海量的学习视频,给学习者造成选择困难。为此,如何找到一个适合学习者的学习视频。对此,该研究设计和构建基于学习风格的个性化推荐系统。首先,学习者模块通过学习者自我填写学习风格量表,分析出学习者的学习风格;其次,对需要的学习视频进行分析,判断出该学习视频的教学风格;最后,将学习者学习风格与学习视频的教学风格进行匹配,向学习者进行推荐相匹配的学习视频。个性化推荐系统的设计给予一定的理论依据及实际应用的指导。

In the era of big data,there are a large number of learning videos on the network platform,which makes it difficult for learners to choose.So,how to find a learning video suitable for learners.In this study,a personalized rec-ommendation system based on learning styles was designed and constructed.First,the learners'module analyzes the learners'learning style through the learners'self-flling of the learning style scale;Secondly,the required learning video is analyzed to determine the teaching style of the learning video;Finally,the learning style of the learners is matched with the teaching style of the learning video,and matching learning videos are recommended to the learners.The design of the personalized recommendation system provides a certain theoretical basis and practical application guidance.