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Dynamic ontology-based user modeling in personalized information retrieval system

机译：基于动态本体的用户建模在个性化信息检索系统中

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摘要

Personalized retrieval is the inevitable trend of information services, which can meet users' diversified and specialized knowledge requirements. The learning of user features and the building of user model are essential to realize the personalization in information retrieval system. In this paper, we introduced ontology into this research, and study the representation of user interests using concepts and relations, and based on which, develop a dynamic approach of modeling. We analyzed the main principle and the two key steps of this approach including user features primitive learning and deep mining. The application of the model is also discussed at the end of the paper. Our study shows that dynamic ontology-based user modeling can improve the retrieval quality by better representing, discovering and utilizing user implicit interests.
机译：个性化检索是信息服务的必然趋势，可以满足用户多元化和专业知识要求。用户功能的学习和用户模型的构建对于实现信息检索系统中的个性化是必不可少的。在本文中，我们向该研究引入了本体论，并研究了使用概念和关系的用户兴趣的代表，以及基于哪些，培养了建模的动态方法。我们分析了这种方法的主要原则和两个关键步骤，包括用户具有原始学习和深度挖掘。该模型的应用还在纸张结束时讨论。我们的研究表明，基于动态本体论的用户建模可以通过更好的代表，发现和利用用户隐式兴趣来提高检索质量。

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