现代信息科技2025，Vol.9Issue(10)：82-85,91,5.DOI:10.19850/j.cnki.2096-4706.2025.10.015
基于用户可靠信息的文献推荐算法
Literature Recommendation Algorithm Based on Reliable User Information
摘要
Abstract
Aiming at the problem of attribute redundancy or irrelevant attribute feature interference in traditional content-based recommendation algorithms,a Literature Recommendation algorithm based on Reliable User Information(LR_RUI)is proposed.It improves the traditional user portrait portrayal,introduces the time decay factor,dynamically adjusts the user interest features,and determines the number of attributes required through the proposed probability model.It selects the key attributes to obtain the reliable user information,and finally generates a literature recommendation list more in line with the personalised preference of the users based on the similarity among the users.The experimental results show that compared with the traditional algorithm CB,NDCG@10 improves by 0.11,Precision improves by 0.2,and MRR improves by 0.3,which better achieves personalised recommendation.关键词
推荐算法/用户偏好/用户可靠信息/文献推荐Key words
recommendation algorithm/user preference/reliable user information/literature recommendation分类
计算机与自动化引用本文复制引用
李家慧..基于用户可靠信息的文献推荐算法[J].现代信息科技,2025,9(10):82-85,91,5.
