Movie Recommender System Using Genetic AlgorithmPaper
Main Article Content
Abstract
A movie recommendation is important in our social life due to its strength in providing spectacularly improvised entertainment. Such a system can suggest a set of movies to users based on their interest of the movies. A set of movie recommendation systems have been proposed In this project we have explored and implemented various movie recommendation systems that have the ability to recommend movies to a new user as well as the others. It mines movie databases to collect all the important information, such as, popularity and attractiveness, required for recommendation. It generates movie swarms not only convenient for movie producer to plan a new movie but also useful for movie recommendation. The implemented systems prove effectiveness of the proposed systems
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.