Design and Implementation of Music Recommendation System Based on Hadoop
作者: Zhao YufengLi Xinwei
论文集英文名称: Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
会议英文名称: >Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018), 2018
来源数据库: Atlantis Press
DOI: 10.2991/icsnce-18.2018.36
原始语种摘要: In order to solve the problem of information overload of music system under large data background, this paper studies the design scheme of distributed music recommendation system based on Hadoop. The proposed algorithm is based on the MapReduce distributed computing framework, which has high scalability and performance, and can be applied to the calculation and analysis of off-line data efficiently. The music recommendation system designed in this paper also includes client, server interface, database and ETL operation, which can calculate a set of complete recommendation system from user operation end to server and data calculation. In order to improve the accuracy of the recommendation algorithm, this paper introduces k-means clustering algorithm to improve the recommendation algorithm...
全文获取路径: Atlantis出版社 
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关键词翻译
关键词翻译
  • recommendation 建议
  • music 音乐
  • clustering 聚类
  • distributed 分布的
  • calculation 计算
  • improve 改进
  • algorithm 算法
  • accuracy 准确度
  • database 资料库
  • paper