期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：14
期号：1
页码：15-17
DOI：10.14445/22312803/IJCTT-V14P104
出版社：Seventh Sense Research Group
摘要：The dynamic recommendation technique is very important for the field of online based service. And one of the most difficulties is to providing high quality recommendation on dynamically in sparse data. Mainly we using novel personalized dynamic recommendations algorithm in this paper , in this both the rating of product and the user profile content information should be utilized for exploring the latent relationship between the rating of products and dynamic features these are designed for user description user to know and it’s made adaptively. And the experimental results on public datasets are showing the proposed algorithm and it’s satisfies the performance of usage and dynamic data recommendation
关键词：Penalization; Dynamic Features; Ranking; User and Content Profiles; Recommended Systems
