结合会员借阅行为的图书馆启发式借阅流程模型构建

Construction of Library Heuristic Borrowing Process Model Combined with Member Borrowing Behavior

为了提升公共图书馆借阅推荐效率,使用机器学习算法进行深度数据挖掘,匹配图书特征与会员借阅习惯特征,提出更符合会员借阅习惯的启发式借阅推荐算法。该推荐算法模型在仿真测试和试运行测试中,均表现出较高的应用效率,且使用过新系统的会员给出的主观评价结果,从之前系统的7.52分提升到8.93分。证实该启发式借阅流程模型适用于公共图书馆的借阅推荐系统。

In order to improve the efficiency of borrowing recommendation in public libraries,machine learning algorithm is used for in-depth data mining to match the characteristics of books and members’borrowing habits,and a heuristic borrowing method combined with members’borrowing habits is given.The borrowing recommendation algorithm model shows high application efficiency in simulation test and commissioning test,and the subjective evaluation results given by members who have used the new system have increased from 7.52 points of the previous system to 8.93 points.It is proved that the heuristic borrowing process model is suitable for the borrowing recommendation system of public library.