摘要
阐述基于内容过滤的个性化用户兴趣挖掘算法,通过分析用户的行为数据和内容特征,将用户的兴趣与相关的内容进行匹配,从而实现更加准确和个性化的推荐。
This paper describes a personalized user interest mining algorithm based on content filtering.By analyzing user behavior data and content characteristics,user interests are matched with relevant content to achieve more accurate and personalized recommendations.
作者
刘鑫
LIU Xin(Jilin University of Architecture and Technology,Jilin 130114,China)
出处
《电子技术（上海）》
2024年第5期42-43,共2页
Electronic Technology
基金
吉林建筑科技学院科研课题([2022]012ZQKJ)。
关键词
内容过滤
个性化
用户兴趣挖掘
算法设计
content filtering
personalization
user interest mining
algorithm design
