现代信息科技2024，Vol.8Issue(18)：108-111,115,5.DOI:10.19850/j.cnki.2096-4706.2024.18.022
基于作者的协同过滤图书推荐算法
Collaborative Filtering Book Recommendation Algorithm Based on Author
胡海莹 1陈学文1
作者信息
- 1. 湖北文理学院 图书馆,湖北 襄阳 441053
- 折叠
摘要
Abstract
Choosing accurate book recommendation algorithm not only allows readers to obtain the required book information quickly and efficiently,reduces the retrieval and search time,but also gives better play to the latent value of library collection resources.Based on the theory and method of collaborative filtering recommendation algorithm,in view of the shortcomings of the two commonly used collaborative filtering book recommendation algorithms,from the perspective of the similarity between the authors,collaborative filtering book recommendation algorithm based on authors is proposed.The method includes calculating the author's feature vector,calculating similarity,logical scoring,TOP-K recommendation and other steps.The algorithm example shows the basic principle and implementation process of the algorithm,and the results show that the algorithm is simple,convenient and feasible,which provides a new idea for book management recommendation work.关键词
作者/协同过滤/图书/推荐算法Key words
author/collaborative filtering/book/recommendation algorithm分类
计算机与自动化引用本文复制引用
胡海莹,陈学文..基于作者的协同过滤图书推荐算法[J].现代信息科技,2024,8(18):108-111,115,5.
