摘要
针对协同过滤算法数据稀疏性的问题，围绕隐性评分这一解决方案，创新性地从隐性评分数据来源这一方面出发，对现有的相关研究成果进行了梳理。
For the solution surrounding the sparseness problem of the collaborative filtering algorithms data,implicit rating was presented. From the data sources of implicit rating, the existing research results have been innovatively combed.
出处
《中国电子商务》
2011年第3期75-75,共1页
E-commerce in China
关键词
协同过滤
推荐系统
隐性评分
collaborative filtering,recommendation system,implicit rating
