云计算环境下基于Apriori算法的智能推荐模型

An Intelligent Recommendation Model Based on Apriori For Cloud Computing

介绍了Apriori算法和智能推荐的基本思想,针对当前互联网应用中智能推荐复杂性问题,提出了云计算环境下基于Apriori的聚类算法模型。该模型根据用户访问网站的行为特征数据,分析和挖掘出用户期望的浏览对象,动态调整云计算系统的智能推荐内容。实验结果表明,该算法模型有效提高了智能推荐的准确性和效率。

The basis mechanism of Intelligent Recommendation is introduced. Aimed at solving the complicated issue, a new Apriori Algorithm model based on Cloud Computing is proposed. Recoding to the user＇s behaviors of visiting website, the adaptive viewing objects are calculated by analyzing and data mining. And the contents of Recommendation are adjusted dynamically for computing. By analyzing the experiment result on Hadoop platform, it shows that the new model based on Apriori for Cloud Computing is more efficient and more exact.