Movie Recommendation Systems through Genre Correlation-Based Content and Collaborative Filtering
Main Article Content
Abstract
Recommendation systems play a pivotal role in suggesting resources such as books, movies, songs, and more to users based on data analysis. Movie recommendation systems, in particular, predict a user's preferences for movies by evaluating attributes found in their previously favored films. These systems are invaluable for organizations amassing data from numerous customers, aiming to deliver optimal suggestions. Various factors can influence the design of a movie recommendation system, including genre, actors, and directors. Recommendations can be made based on one attribute or a combination of multiple attributes. This paper presents a recommendation system that focuses on users' preferred movie genres. The approach employs content-based and collaborative-based filtering using genre correlation and utilizes the Movie Lens dataset.
Downloads
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.