摘要
信息爆炸的时代,用户在获取需要的信息时存在着一定的困难与挑战,传统信息检索系统仅仅支持基于关键词匹配的检索,而不能准确理解用户的需求与意图。为实现信息的快速获取与高效利用,并为用户提供符合个性化需求的信息检索服务,文章基于本体理论、语义相似度算法与用户模型,设计个性化信息检索系统,以给予用户更优质的信息获取体验。
In the era of information explosion,users face some difficulties and challenges in obtaining the information they need.Traditional information retrieval systems only support keyword matching based retrieval,but cannot accurately understand users’needs and intentions.Therefore,in order to achieve rapid acquisition and efficient utilization of information,and provide users with personalized information retrieval services that meet their needs,this article designs a personalized information retrieval system based on ontology theory,semantic similarity algorithm,and user model,to provide users with a better information acquisition experience.
作者
赵朝进
ZHAO Chaojin(Jiangsu Ocean University,Lianyungang Jiangsu 222000,China)
出处
《信息与电脑》
2023年第23期53-55,共3页
Information & Computer
关键词
本体
个性化
信息检索系统
body
personalization
information retrieval system
