ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||5|
|Section||Session 4: Information Theory and Information Systems|
|Published online||05 September 2017|
Design and Implementation of Movie Recommendation System Based on Knn Collaborative Filtering Algorithm
School of Software Engineering, Beijing University of Technology, Beijing, China
In the spread of information, how to quickly find one’s favorite movie in a large number of movies become a very important issue. Personalized recommendation system can play an important role especially when the user has no clear target movie. In this paper, we design and implement a movie recommendation system prototype combined with the actual needs of movie recommendation through researching of KNN algorithm and collaborative filtering algorithm. Then we give a detailed principle and architecture of JAVAEE system relational database model. Finally, the test results showed that the system has a good recommendation effect.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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