文章基本信息

标题：A Mobile Recommendation Algorithm Based on Statistical Analysis of User Data
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作者：Chunyong Yin ; Hui Zhang ; Jun Xiang 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：12
页码：355-366
DOI：10.14257/ijhit.2015.8.12.27
出版社：SERSC
摘要：Recommendation technology is used to help people solve the problem of information overload. Recent years, it has been widely applied to the movie ratings, e-commerce and many other fields. Researchers have noticed its powerful application prospect. But with the exponential growth of information data, the recommendation systems also have to improve the ability of data processing and this leads to that the traditional collaborative filtering recommendation algorithms cannot meet the needs of the users. To solve the problem, we designed an algorithm based on the theory of statistical analysis. This algorithm classified the data simply firstly, and then system could give users the relatively satisfactory personalized recommendations by the statistical analysis of different attributes on the data sets.
关键词：recommendation technology; mobile electronic commerce; user behavior ; attributes; big data