基于协同过滤的图书馆书目个性化推荐系统

Personalized Recommendation System of Library Bibliography Based on Collaborative Filtering

为了解决当前图书馆书目推荐系统存在的一些弊端,以获得更优图书馆书目推荐效果,满足用户对书目的个性化要求,提出了基于协同过滤的图书馆书目个性化推荐系统。首先分析当前图书馆书目推荐的研究进展,设计了图书馆书目个性化推荐系统的总体结构,然后用户登录到图书馆书目个性化推荐系统,根据用户信息和书目推荐算法得到图书和用户之间的相似度,并基于相似度得到图书馆书目推荐结果,最后将图书馆书目推荐结果反馈给用户,并对图书馆书目推荐系统性能进行了测试。结果表明,该系统能够考虑用户对图书馆书目的个性化需求,提高了图书馆书目推荐的准确度,获得了理想图书馆书目推荐结果,具有一定的实际应用价值。

In order to solve some problems of current library bibliography recommendation system,obtain a better effect of library bibliography recommendation,and meet users'personalized requirements for bibliography,a library bibliography personalized recommendation system based on collaborative filtering is proposed.This paper first analyzes the current research progress of library bibliography recommendation,designs the overall structure of library bibliography personalized recommendation system.When a user logs in to the library bibliography personalized recommendation system,the system can obtain the similarity between books and the user according to user information and bibliography recommendation algorithm.The user can obtain the library book recommendation results based on the similarity.Finally,the user selection is feedbacked to the library bibliography recommendation system.The results show that the system can consider the personalized needs of users for the excellent library bibliography,improve the accuracy of the excellent library bibliography recommendation bibliography,and obtain the ideal excellent library bibliography recommendation results,which has a certain practical application value.