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Research on Book Recommendation Algorithm Based on Collaborative Filtering and Interest Degree

机译:基于协同滤波和兴趣度的书推荐算法研究

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With the increase of library collections, it is difficult for readers to quickly find the books they want when choosing books. Book recommendation system is becoming more and more important. Based on the previous research, this paper proposes a book recommendation algorithm based on collaborative filtering and interest. Take the interest of the book itself as an important measurement index, including the number of searches, borrowing time, borrowing times, borrowing interval, and renewal times. Through the analysis of MAE and RMSE experiments, the results show that the method proposed in this paper converges faster than the traditional method.
机译:随着图书馆收藏的增加,读者很难在选择书籍时快速找到他们想要的书籍。 书籍推荐系统变得越来越重要。 基于以前的研究,本文提出了一种基于协同过滤和兴趣的书推荐算法。 将本书本身的兴趣作为一个重要的计量指标,包括搜索,借用时间,借贷时间,借贷间隔和更新时间。 通过分析MAE和RMSE实验,结果表明,本文提出的方法比传统方法收敛得更快。

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