计算机与现代化Issue(12)：32-37,6.DOI:10.3969/j.issn.1006-2475.2025.12.005
基于日志挖掘的个性化文献推荐算法
Personalized Literature Recommendation Algorithm Based on Log Mining
摘要
Abstract
In recent years,the exploration of personalized recommendation technology has increasingly occupied the core posi-tion in the field of recommendation system research.Among them,literature recommendation,as an important branch of this field,is receiving more and more attention and in-depth research.For the problems of that the current scientific and the litera-ture recommendation algorithm in technological literature discovery system do not take into account the user's behavior prefer-ences and a large number of users cannot be recommended with literature due to sparse user data,this study proposes a personal-ized literature recommendation algorithm based on log mining.First of all,this study initializes the user behavior record log into a user-literature scoring matrix,and then in the process of in-depth analysis of user interest preferences,comprehensively consid-ers the characteristics of global projects and local scoring information,and designs a user interest preference algorithm with the principle of Haiming's closeness.Finally,the algorithm is fused with the weighted JMSD similarity algorithm to expand the cov-erage of the recommendation algorithm,and then greatly improve the accuracy of the recommendation results.The actual user be-havior log data of NSTL literature service system was used in the experiment.The experimental results show that the algorithm's overall performance is better than other baseline algorithms,with an average improvement of 0.8%,3.2%and 1.9%in Preci-sion,Recall and F1,which verified the effectiveness of the proposed algorithm.The research results can be applied to the litera-ture discovery platform to further strengthen the intelligent level of document information resource service.关键词
日志挖掘/用户偏好/稀疏性/个性化推荐/全局特征/推荐系统Key words
log mining/user preferences/sparseness/personalized recommendation/global feature/recommender systems分类
信息技术与安全科学引用本文复制引用
张亚,白海燕,孟旭阳..基于日志挖掘的个性化文献推荐算法[J].计算机与现代化,2025,(12):32-37,6.基金项目
中国科学技术信息研究所创新研究基金青年项目(QN2024-15) （QN2024-15）
