Publication Type : Conference Paper
Publisher : SpringerLink
Source : Advances in Intelligent Systems and Computing book series (AISC,volume 556)
Url : https://link.springer.com/chapter/10.1007/978-981-10-3874-7_11
Campus : Coimbatore
School : School of Computing
Year : 2017
Abstract : Recommendation is a very important part of our digital lives. Without recommendation one can get lost in web of data. Movies are also very important form of entertainment. We watch most movies that are recommended by someone or others. Each person likes specific type of movies. So movie recommendation system can increase sales of a movie rent/sales shop. Websites like Netflix are using it. But there is one problem that can cause recommendation system to fail. This problem is sparsity problem. In this paper, we have used a new approach that can solve sparsity problem to a great extent.
Cite this Research Publication : N. Mishra, S. Chaturvedi, V. Mishra, R. Srivastava, P. Bargah , Solving sparsity problem in rating-based movie recommendation system, Adv. Intell . Syst. Comput . 556 (2017) 111–117. https://doi.org/10.1007/978-981-10-3874-7_11 ( Scopus Indexed)