E-Commerce Personalized Recommendation Algorithm Design Based on Hadoop: Taking Move Recommendations as an Example
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    Abstract:

    This paper implements recommendation algorithm based on Item collaborative filtering recommendation algorithm and content-based parallelization, and uses the hybrid recommendation algorithm based on these two complementary recommendation algorithm for project-related calculations, and accesses network of the projects' relationships, namely the correlation coefficient matrix of each project. Then we do the relevant test analysis to the improved algorithm.

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马瑞敏,卞艺杰,陈超,吴慧.基于Hadoop的电子商务个性化推荐算法——以电影推荐为例.计算机系统应用,2015,24(5):111-117

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  • Received:September 03,2014
  • Revised:October 08,2014
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  • Online: May 15,2015
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