摘要
随着移动技术的不断发展,移动应用服务的市场前景广阔。其受限制的硬件条件,对移动应用服务的个性化提出了更高的要求。在此背景下,引入音乐基因组的概念,以用户对音乐的标注行为和社会化标签为基础,分析用户对不同音乐基因特征的偏好情况及用户兴趣,并利用不同用户之间的兴趣相似情况,构建用户之间的相邻关系,结合两方面的因素,提出了一个个性化移动音乐推荐系统。实验表明,该方法能够较好地满足移动音乐服务的个性化需求。
With the continuous development of mobile technology,the market of mobile application service has a wide prospect.The restricted hardware conditions of mobile application service puts forward more advanced requests on its personalisation.In this context,the paper introduces the concept of music genome into personalised service.Based on the labelling behaviour of users on music and the social tagging,we analyse the preference situation of users on characteristics of different music gene and their interest,and utilise the interest similarities between different users to construct the neighbouring relationship between users.Combined with two factors,we have developed a personalised mobile music recommendation system.Experiments show that the method can better satisfy the personalised demands of mobile music service.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第9期27-30,56,共5页
Computer Applications and Software
基金
国家自然科学基金项目(60673039
60973068)
教育部博士点基金项目(2009004111002)
关键词
个性化服务
混合推荐
移动音乐
推荐系统
音乐基因
Personalised service, Mixed recommendation ,Mobile music, Recommendation system ,Music genome
