Abstract
This paper designed and implemented a data recommendation prototype system; this system records the user’s input information and organizes it into the appropriate thesaurus by using the Apriori algorithm and the edit distance algorithm; when the next time the user enters a query keyword, the system can recommend appropriate keywords to the user. Data recommendation system has been applied at the national population and health scientific data sharing platform to provide users with recommendation query service.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhang, X., Zheng, L. (2012). Exploration on Data Recommendation Prototype Based on Data-Sharing-Platform. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_48
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DOI: https://doi.org/10.1007/978-3-642-25781-0_48
Publisher Name: Springer, Berlin, Heidelberg
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