-
Content based recommendation system focuses on the content, and recommends items that are similar to those that a user has liked or interacted with before.
-
The Movie recommendation model uses content based approach.
-
Notifications
You must be signed in to change notification settings - Fork 0
A movie recommendation model based on content analyzes movie features such as genre, actors, and plot to suggest similar movies to the user. This type of model uses machine learning algorithms to match user preferences with relevant content, providing personalized recommendations to enhance the user's movie-watching experience.
License
Sid672/Movie_Recommendation_Model
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
A movie recommendation model based on content analyzes movie features such as genre, actors, and plot to suggest similar movies to the user. This type of model uses machine learning algorithms to match user preferences with relevant content, providing personalized recommendations to enhance the user's movie-watching experience.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published