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Research on MapReduce based sequential rules in Recommender system

Source: Internet
Author: User
Keywords Recommendation System MapReduce
Tags applications based content data data processing personalized personalized recommendation processing
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Research on MapReduce based sequential rules in Recommender system

Yong Guo Jinwei Leather Building

At present, the common personalized recommendation system models are usually based on collaborative filtering or content based, and some are 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 the common personalized recommendation system.


Research on MapReduce based sequential rules in Recommender system

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