摘要
信息过滤已成为当今信息技术研究的热点。主要介绍布尔模型、向量空间模型和概率模型,并分析它们各自的优点及存在的不足之处。在此基础上,提出一种新的信息过滤模型——基于本体论的信息过滤模型,阐述用户兴趣模板的构建步骤、用户相关反馈和更新算法,为基于本体的信息过滤技术提供了理论基础。
Information filtering has become a hot issue in information technology research at present.In this paper we mainly focus on the Boolean model,the vector space model and the probabilistic model,and analyse their advantages and disadvantages.Based on this,we propose a new information filtering model---the ontology-based information filtering model,expatiate on the construction steps of user interests template,the relative feedbacks from users,and the update algorithm,these lay the theoretical foundation for ontology-based information filtering technology.
出处
《计算机应用与软件》
CSCD
北大核心
2014年第2期119-122,共4页
Computer Applications and Software
关键词
布尔模型
向量空间模型
概率模型
用户兴趣模型
Boolean model
Vector space model
Probabilistic model
User interests model