Design and Implementation of a Hybrid Recommender System Based on Apache Spark

Yongjie Shi, Stanislav V. Grigorev
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Abstract

With the rapid development of Internet technology, people are surrounded by a variety of data information, but among this massive data information, only a very small amount of data information is of interest to users., so how to find the useful information in the massive data information and push it to the targeted user is a problem to be studied by the recommendation system. Through the analysis of the recommendation system, it is found that the traditional recommendation algorithm has some shortcomings, and the emergence of the hybrid recommendation algorithm effectively alleviates these problems.
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基于Apache Spark的混合推荐系统的设计与实现
随着互联网技术的飞速发展,人们被各种各样的数据信息所包围,但在这海量的数据信息中,只有极少数的数据信息是用户感兴趣的。因此,如何在海量的数据信息中发现有用的信息,并将其推送给目标用户,是推荐系统需要研究的问题。通过对推荐系统的分析,发现传统的推荐算法存在一些不足,而混合推荐算法的出现有效地缓解了这些问题。
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