Abstract: Learners need spend a lot of time in searching the satisfying courses of themselves in different platforms, as the large network open platform MOOC appears in recent years. A vertical search engine for MOOC is designed and implemented in order to improve the utilization efficiency of education resource in MOOC. This paper proposes a kind of optimization scheme of tightly coupled crawling and index of multithreading parallel. It can download the relative information of courses according to three kinds of methods of loading course list, and customize the extraction rules of relative information according to the feature of course Web page being analyzed. This paper also proposes a kind of prioritization method of similarity score in search ranking. The analysis on experiment result indicates that the evaluation values of average time of crawling and index, sorting effect and average mean value of correct rate etc increase to some extend by the vertical search engine for MOOC. Therefore, it achieves the integration, storage, and retrieval functions of education resource in MOOC, and satisfies the requirements of development of educational information.
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Key words: massive open online course(MOOC), education resource, search engine, similarity score