基于协同过滤的高校图书推荐系统

College Book Recommendation System Based on Collaborative Filtering

目前大部分高校图书馆都只有对热门图书的推荐,同质化现象比较严重。而读者面对图书馆海量图书往往无从下手,使用推荐系统能很好地解决这一问题,使用Python进行数据分析与处理,基于以往的读者借阅数据,构建评分矩阵,给出个性化推荐,同时借助matplotlib将结果可视化。

At present, most university libraries only recommend popular books, and the phenomenon of homogenization is serious. The readers often have no way to choose right books from huge number of books. The recommendation system can solve this prob. lem well. Uses Python for data analysis and processing, based on the previous readers borrowing data, constructs a scoring matrix and gives personalized recommendations, visualizes the results by Matplotlib.