Movie Recommender System

Ajla Sokol


Recommender systems are necessary in current time, since the information available online can be overloading to a user. These systems are used everywhere, starting from the online shops to the websites that are focused
on recommending particular item, such as videos to watch or songs to listen to. Recommender system that predicts the likings of a user based on their previous behavior is very popular when it comes to picking up the movies to watch. This paper talks more about the movie recommender systems, and explains the way that different types of recommendations can be used in order to test datasets and provide good recommendations for variety of users.


Recommender System; Movies; Movie Recommender System

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Copyright (c) 2019 Ajla Sokol

ISSN 2233 -1859

Digital Object Identifier DOI: 10.21533/scjournal

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License