movielens-movie-recommendation
There are 14 repositories under movielens-movie-recommendation topic.
xei/recommender-system-tutorial
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
pratiknabriya/Recommender-System-Collaborative-Filtering-MovieLens
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
SunilGolden/RecEngineMF
Recommendation Engine powered by Matrix Factorization.
PanithanS/Movies-Recommendation-Systems-and-Personalization
Movies Recommendation Systems with Personalization
Crone1/Spark-Recommender-System
This project involves using Pyspark to create a recommendation system on the Google Cloud Platform
sanchit2107/Movielens-Movie-Recommendation
Movie Recommended System- From Movielens dataset we need to recommend the most rated movie as well as the average rating of the movie.
Tejas-TA/Neural-Network-Movie-Recommendation
The repository consists of a recommendation engine that suggests movies to the users based on the genre and ratings previously received. Under the hood, a neural collaborative filtering technique has been implemented
HermonMasih/DSP-Movielens-Project
This is a project made as a part of my data science master's program to analyze and draw inference from Movielens data.
junaidaliop/cf-tf
Recommendation Systems (Collaborative Filtering) Experiments on MovieLens Datasets
YazdanZ/SeqRec
.Personalized recommendation system built on top of a multiplicative LSTM.
hchen98/DTSC701-project
Data analysis and movie recommendation of OpenMovie dataset by using the shell, Python, Cosine Similarity algorithm, Apache PySpark, and Apache Hadoop.
james-jory/amazon-personalize-movielens-inference-demo
Amazon Personalize / MovieLens inference utility/demo scripts