Abstract
Combining distributed computing and data mining techniques, a distributed personalized search engine is put forward to solve the the problems current search engines faced. It has described the theoretical model and algorithmic processing. Under the Hadoop, a distributed platform processing information with Java, the key parts are programmed and implemented. The experimental results show that this theoretical model can improve the accuracy and speed of the user's queries so it can improve the retrieval performance of the search engine.
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