大数据背景下个性化音乐推荐方案探究

Analysis of the Personalized Music Recommendation Method Based on Big Data

随着移动互联网和云计算等技术高速发展,网络音乐库数量和种类呈现爆炸式增长,这使得面向音乐数据源的大数据分析需求应运而生。文章针对热门的个性化音乐推荐服务,初步探讨了基于大数据挖掘的概念性方法,并且研习了一种个性化音乐推荐方案。

With the quick advancement of mobile internet and cloud computation, the number and variety of music databases expands exponentially, which gives rises to the data analysis that is focused more on these topics. This essay focuses on the recommendation of popular music, primarily explores the theorized method which is based on Data Mining, and analyzes a unique and personalized music recommendation method.