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中文摘要：
目前大多数知识管理系统采用基于关键词或关键词向量空间模型表示用户的兴趣偏好。针对该方法不包含语义信息,很难准确表示用户感兴趣的信息,并且难于扩展,提出一种基于领域本体的用户模型。该模型利用用户访问量,采用改进的相似度算法,实现用户分类建立用户模型,体现用户个人偏好。最后将该模型应用于齐齐哈尔货车快速设计系统中,应用表明该模型能准确地反映用户兴趣,且提高了信息检索效率。
英文摘要：
At present the majority knowledge management systems use the handling of traffic system which still adopts the traditional retrieval mode which is the retrieval mode based keyword or based keyword rector to denote users＇ interest.The method does not contain semantic information,is difficult to accurately capture and extended users＇ interested information.In order to solve this problem,this paper proposed domain ontology based on user model,presented a domain ontology based on user model through the utilization of user access volume,used an improved similarity algorithm,realized of user classification based on user model and reflected the user＇s personal preferences.Finally it applied in Qiqiha＇er freight vehicle fast design system,and had been proved improvement of the retrieval efficiency.
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