An innovative personalized recommendation algorithm based on semantic clustering is devised in this model. An ontology-based vector space model is setting up after the preprocessing on Web usage data with domain ontology. The transaction data are clustered with K-Means Agglomerative Nesting algorithm. 针对这一模型,本文提出一种基于语义聚类的个性化推荐算法,利用领域本体对Web数据进行预处理,并采用K-Means层次凝聚算法对交易事务进行聚类分析。