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Application and Research of Collaborative Filtering in E-commerce Recommendation System

机译:协同过滤在电子商务推荐系统中的应用研究

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摘要

in this paper, through the study of the existing collaborative filtering technologies and the e-commerce recommendation system concepts, architecture and the main recommendation technology and development, an improved collaborative filtering algorithm is designed and implemented. This algorithm can solve the scalability problem general collaborative filtering algorithms can not solve to some extent, thus the recommendation quality can be greatly improved.
机译:本文通过研究现有的协同过滤技术以及电子商务推荐系统的概念,体系结构和主要推荐技术及发展,设计并实现了一种改进的协同过滤算法。该算法可以解决一般协作过滤算法无法解决的可扩展性问题,从而可以大大提高推荐质量。

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