Design and Implementation of a Hybrid Recommender System Based on Apache Spark
Shi Yongjie, Stanislav V. Grigorev · 2022
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.