文献类型：期刊文献

英文题名：The Performance Evaluation of Recommendation Algorithm Using Mahout Framework

作者：Yan, Zidong[1]; Hu, Qingchun[1]; Tang, Chengyu[1]; Yang, Kelang[1]; Cai, Hongyu[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2020

起止页码：10

外文期刊名：ACM International Conference Proceeding Series

收录：EI(收录号：20203108993370)

语种：英文

外文关键词：Open Data - Big data

摘要：In order to achieve a better recommendation effect, the optimization and improvement of the recommendation algorithm has been the research hotspot of the recommendation system. Similarity is the core problem of recommendation algorithm, so in this paper, a novel method of calculating similarity in collaborative filtering recommendation was proposed to make the recommendation better. We used the weighted average method to combine various similarity algorithms on the calculation of similarity, so as to improve the accuracy of recommend results and the stability of the algorithm. In order to test the weighted coefficient of similarity and tuning, the experiment is conducted on open source data sets and Mahout framework. Finally, an effective way to improve the collaborative filtering algorithm is presented. ? 2020 ACM.