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The Research of E-commerce Recommendation System Based on Collaborative Filtering Technology

机译:基于协同过滤技术的电子商务推荐系统研究

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摘要

Recommendation System is the use of statistical and knowledge discovery techniques to solve the interaction with the target customers to provide products recommended problem. This paper presents the method of e-commerce recommendation system based on collaborative. The recommendation algorithm based on Collaborative filtering is proposed in order to better solve the collaborative filtering recommender system implementations exist in the data sparse and synonyms. The compared experimental results indicate that this method has great promise.
机译:推荐系统是使用统计和知识发现技术来解决与目标客户的交互以提供产品推荐问题的方法。本文提出了一种基于协同的电子商务推荐系统的方法。为了更好地解决数据稀疏和同义词中存在的协同过滤推荐系统的实现,提出了一种基于协同过滤的推荐算法。对比实验结果表明该方法具有广阔的应用前景。

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