movielens
There are 155 repositories under movielens topic.
khanhnamle1994/movielens
4 different recommendation engines for the MovieLens dataset.
guocheng18/Sequential-Recommendation-Datasets
Download and preprocess popular sequential recommendation datasets
fuxuemingzhu/MovieLens-Recommender
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
xei/recommender-system-tutorial
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
javascript-machine-learning/movielens-recommender-system-javascript
🍃 Recommender System in JavaScript for the MovieLens Database
mayukh18/reco
a simple yet versatile recommendation systems library in python
sadighian/recommendation-gym
MovieLens recommendation system using reinforcement learning (GYM + PPO)
yxtay/recommender-tensorflow
Recommendation Models in TensorFlow
SebastianRokholt/Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
o19s/elastic-graph-recommender
Building recommenders with Elastic Graph!
IBM/turi-create-movie-recommender
Creating a movie recommendation system for iOS with Turi Create
abhilampard/Movie_Recommendation_Engine
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
biolab/orange3-recommendation
🍊 :thumbsdown: Add-on for Orange3 to support recommender systems.
Captain-SpongeBob/MovieRecommendSystem
电影推荐系统，包括基于ALS、LFM的离线推荐、实时推荐，基于Spark
m-clark/noiris
Any data but iris 👁
nicolasfguillaume/Recommender-Systems-Making-Movies-Recommendation
Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.
Swalloow/pyspark-ml-examples
Spark ML Tutorial and Examples for Beginners
soran-ghaderi/EfficientCoF
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
longseespace/movielens
Promise based Node API for the movielens unpublished API (ready to be used with async/await)
MelihGulum/Exploratory-Data-Analysis-EDA
Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.
sileod/language-model-recommendation
Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)
Upasanadhameliya/Django-Movie-Recommendor
Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
CVxTz/Recommender_keras
Basic recommendation system for Movilens dataset using Keras
wuliwei9278/ml-1m
New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++
mangaki/zero
Mangaki's recommendation algorithms
shik3519/collaborative-filtering
Implementation of collaborative filtering using fastai and pytorch
gentaiscool/pmf
Probabilistic Matrix Factorization on MovieLens 100K
shah314/BPR
Bayesian Personalized Ranking in Python
alagoa/letterboxd_to_movielens
Converts the ratings exported from Letterboxd to a format that can be imported by MovieLens.
akthammomani/MAXELLA-APP-Movies-Tensorflow-Recommenders-TFRS
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
FloweryK/Matrix-Factorization-Techniques-for-Recommender-Systems
Pytorch implementation of Netflix recommender system
ilias-ant/recommender-systems
Implementing various Recommender Systems.
munir-bd/LSTM-for-MovieLens
Project focus on LSTM model for MovieLens.
ravexina/python-recommender-system
A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
mbodenham/k-nn-movie-recommender
User-based collaborative filtering movie recommender using MovieLens dataset