基于协同过滤的医学生智能学习推荐系统设计

Design of Intelligent Learning Recommendation System for Medical Students Based on Collaborative Filtering

为提高医学院校学生自我管理和学习的能力,设计一种基于协同过滤的医学生智能学习推荐系统,以临床医学专业学生为例,通过分析用户历史行为,经过数据探索与预处理,应用协同过滤算法,筛选并推送满足用户学习兴趣和需求的信息和习题,为用户提供个性化服务。

In order to improve the self-management and learning ability of medical college students, an intelligent learning recommendation system for medical students based on collaborative filtering is designed. Taking students majoring in clinical medicine students as an example, through analyzing users’ historical behavior, after data exploration and preprocessing, collaborative filtering algorithm is applied to screen and push information and exercises that meet users’ learning interests and needs. It can provide personalized services for users.