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Lack of personalization, poor recall and precision ratios, and lower efficiency of search are main problems of the current search engines, while the application of personalized search engine is an efficient approach. This paper gives the design and implementation of a personalized search engine, including the establishment and application of the shared knowledge base, the collection and mining of the users' interest, the construction and use of the users' interest base, and the combination of semantic query and personalized one. The core of the shared knowledge base and personalized query is ontology technology, and the effective use of which can obviously advance the recall and precision ratios. Moreover, the application of the users' interest base can improve the quality and efficiency of customer service.