【摘要】 本文通过对云计算和推荐系统的研究,构建了一种基于Hadoop平台的混合推荐算法。文中介绍了改进的混合推进算法,并结合Hadoop平台的Map Reduce编程模型来实现。通过实验验证,该算法能精确的预测用户的偏好,向用户推荐感兴趣的信息。其次,Hadoop能满足对大量数据处理的要求,结合改进的混合推荐算法,能够大大提高推荐系统的性能。更多还原

【Abstract】 In this paper,through studying the recommendation system and cloud computation,we established the hybrid recommendation algorithm based on Hadoop.In this paper,we introduces a improved hybrid recommended algorithm and combine Map Reduce programming which is used on Hadoop platform.Through practices,the improved algorithm can accurately acquiring user preferences, provide the user with recommendation when the user browse the web page.Finally Hadoop can meet the demand of massive data processing,and achieve a highly performance system by making use of the data reprocessing method.更多还原