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Personalized Recommendation

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Research on MapReduce based sequential rules in Recommender system
applications based content data data processing personalized personalized recommendation processing

Research on mapreduce sequence rule in recommendation system the personalized recommendation system model of two chrysanthemum Guo Jinwei Pijan is usually based on collaborative filtering or content-based and partly based on association rules. These algorithms do not take into account the order of transactions, but in many applications such sequences are important. In this paper, a simple recommendation model based on sequential pattern is proposed, and the MapReduce programming model is combined with the consideration of large-scale data processing. This simple recommendation model can be used to assist in the general ...

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