摘要
大数据时代,信息爆炸式增长,网络资源面临信息过载问题。如何能够有效获取所需信息,推荐系统应运而生。基于Android的音乐推荐系统主要实现用户管理、音乐推荐、音乐搜索等功能。尤其是音乐推荐,能够根据用户的兴趣或喜好自动推荐歌曲,有利于向用户推送长尾音乐。系统经过测试,功能基本实现,能够满足用户听音乐的兴趣或喜好需求。
In the era of big data, with the explosive growth of information, network resources are facing the problem of information overload. To effectively obtain the required information, the recommendation system came into being. The music recommendation sys. tem based on Android mainly realizes user management, music recommendation, music search and other functions. In particular, music recommendation can automatically recommend songs according to users' interests or preferences, which is conducive to pushing longtail music to users. The system has been tested and its functions have been basically realized. It can meet the users' interest or prefer. ence in listening to music.
作者
鲍美英
申晋祥
BAO Mei-ying;SHEN Jin-xiang(School of Computer and Network Engineering, Shanxi Datong University, Datong Shanxi, 037009)
出处
《山西大同大学学报(自然科学版)》
2019年第4期32-33,87,共3页
Journal of Shanxi Datong University(Natural Science Edition)
基金
山西大同大学校级科研项目[2017K7]
山西大同大学大学生创新创业训练项目[XDC2018125][XDC2016232]
关键词
ANDROID
协同过滤
推荐系统
Android
collaborative filtering
recommendation system