Movie Recommendations System
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A Movie Recommendations System is an video recommendations system that implements a movie recommendation algorithm to solve a movie recommendation task.
- Context:
- It can range from being a Data-Driven Movie Recommendations System to being a Heuristic Movie Recommendations System.
- It can range from being a Personalized Movie Recommendations System to being a Non-Personalized Movie Recommendations System.
- ...
- Example(s):
- Counter-Example(s):
- See: Book Recommendation System.
References
2016
- http://mapr.com/products/mapr-sandbox-hadoop/tutorials/recommender-tutorial/
- QUOTE: This tutorial will give step-by-step instructions on how to:
- Use sample movie ratings data from http://grouplens.org/datasets/movielens/
- Use a collaborative filtering algorithm from Apache Mahout to build and train a machine learning model
- Use the search technology from Elasticsearch to simplify deployment of the recommender
- QUOTE: This tutorial will give step-by-step instructions on how to: