Information Filtering Algorithm Based on Semantic Understanding
一种基于语义可理解的信息过滤算法

Personalization and accuracy are the key issues for the development information filtering. Research on semantics understanding will help solve the issues. The basic idea is to describe the semantics of information content and user requirements formally so that computer would understand the formal semantics. Then the semantics would be criterion for information filtering. In this paper information domain ontology is defined to describe semantics. Information semantics is composed by information feature terms and their explanations, and user requirements semantics is represented by definite requirements and latent requirements. Furthermore, the judging methods of information semantics understanding and user requirement semantic understanding are proposed. Finally, this paper presents the information filtering algorithm based on semantic understanding. Experiments show that the information filtering algorithm is effective and feasible.