movielens

There are 8 repositories under movielens topic.

movielens
khanhnamle1994 / movielens
4 different recommendation engines for the MovieLens dataset.
collaborative-filtering content-based-recommendation deep-learning jupyter-notebook movielens notebooks recommender-systems
Language:Jupyter Notebook 405
fuxuemingzhu / MovieLens-Recommender
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
collaborative-filtering movielens recommender-system
Language:Python 179
guocheng18 / Sequential-Recommendation-Datasets
Download and preprocess popular sequential recommendation datasets
datasets movielens gowalla lastfm amazon foursquare yelp citeulike tafeng taobao tmall retailrocket recommendation
Language:Python 176
javascript-machine-learning / movielens-recommender-system-javascript
🍃 Recommender System in JavaScript for the MovieLens Database
javascript movie-database movie-recommendation movielens recommendation-system recommender-system recommender-systems similarity-matrix
Language:JavaScript 157
recommender-system-tutorial
xei / recommender-system-tutorial
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
recommender-system recommendation-system recommendation-engine information-retrieval ranking ranking-system tensorflow tensorflow-tutorials tensorflow-examples tensorflow-recommenders tensorflow-datasets tensorflow-serving keras keras-tutorials movielens movielens-movie-recommendation
Language:Jupyter Notebook 145
mayukh18 / reco
a simple yet versatile recommendation systems library in python
recommender-system collaborative-filtering matrix-factorization factorization-machines wide-and-deep svd-factorization funksvd movielens
Language:Python 54
yxtay / recommender-tensorflow
Recommendation Models in TensorFlow
recommender-system recommendation-engine tensorflow movielens factorization-machine deep-learning wide-and-deep deepfm google-cloud-platform tensorflow-distributed cloud-ml-engine google-cloud-ml-engine
Language:Python 43
sadighian / recommendation-gym
MovieLens recommendation system using reinforcement learning (GYM + PPO)
recommendation recommendation-system movielens stable-baselines reinforcement-learning gym-environment gym ppo
Language:Python 42
o19s / elastic-graph-recommender
Building recommenders with Elastic Graph!
elasticsearch movielens tmdb recommender-system
Language:JavaScript 37
SebastianRokholt / Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
recommender-system hybrid-recommender-system collaborative-filtering content-based-filtering python matplotlib data-science machine-learning regression-models k-nearest-neighbours movielens lasso-regression randomforest movies movies-recommendation
Language:Jupyter Notebook 37
IBM / turi-create-movie-recommender
Creating a movie recommendation system for iOS with Turi Create
ibmcode movielens flask turi ios ngrok swift
Language:Swift 25
biolab / orange3-recommendation
🍊 :thumbsdown: Add-on for Orange3 to support recommender systems.
orange orange3 recommender-system matrix-factorization recommendation movielens
Language:Python 23
abhilampard / Movie_Recommendation_Engine
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
collaborative-filtering movie-recommendation recommend-movies pivot-tables movielens movielens-data-analysis recommendation recommendation-engine movie-recommender
Language:Jupyter Notebook 22
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
spark kafka sparkstreaming redis flume mongodb movielens
Language:Scala 20
m-clark / noiris
Any data but iris 👁
big-five-model data fashion-mnist gapminder google-apps iris-dataset kiva movielens movielens-dataset mtcars pisa-data r sp500 starwars starwars-api water-risk world-happiness-report
Language:R 20
nicolasfguillaume / Recommender-Systems-Making-Movies-Recommendation
Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.
python recommender-system movielens scikit-learn singular-value-decomposition matrix-factorization collaborative-filtering nmf-decomposition data-science machine-learning
Language:Jupyter Notebook 17
Swalloow / pyspark-ml-examples
Spark ML Tutorial and Examples for Beginners
pyspark ml dataframe examples movielens kaggle titanic
Language:Jupyter Notebook 16
soran-ghaderi / EfficientCoF
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
algorithm clustering collaborative-filtering high-dimensionality machine-learning movielens neighbor-users nusccf pearson python recommender-system similarity sparsity subspace subspace-clustering tree-structure
Language:Python 14
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
django django-project python3 content-filtering movielens movielens-dataset movie-recommendation machine-learning django3 content-based-recommendation content-based-filtering python python-3-6
Language:Python 14
longseespace / movielens
Promise based Node API for the movielens unpublished API (ready to be used with async/await)
movie movielens nodejs promise
Language:JavaScript 13
CVxTz / Recommender_keras
Basic recommendation system for Movilens dataset using Keras
keras recommendation-system tensoflow movielens-dataset movielens
Language:Python 12
sileod / language-model-recommendation
Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)
benchmark big-bench dataset gpt2 language language-modeling llm movie-recommendation movie-recommendation-system movielens prompt recommendation recommender-system recsys research zero-shot
Language:Jupyter Notebook 12
wuliwei9278 / ml-1m
New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++
recommender-system ranking julia algorithms movielens netflix kdd paper primal-cr-algorithm
Language:Julia 12
mangaki / zero
Mangaki's recommendation algorithms
recommender-system hacktoberfest movielens
Language:Python 11
shik3519 / collaborative-filtering
Implementation of collaborative filtering using fastai and pytorch
collaborative-filtering fastai movielens t-sne embeddings neural-networks pytorch
Language:HTML 10
alagoa / letterboxd_to_movielens
Converts the ratings exported from Letterboxd to a format that can be imported by MovieLens.
letterboxd movielens python rating
Language:Python 8
gentaiscool / pmf
Probabilistic Matrix Factorization on MovieLens 100K
matrix-factorization movielens pmf sparse scikit-learn sklearn
Language:Python 8
akthammomani / MAXELLA-APP-Movies-Tensorflow-Recommenders-TFRS
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
tensorflow deep-learning machine-learning movielens recommender-system wordcloud-visualization folium-maps seaborn-plots tensorflow-datasets pandas-dataframe python tfrs astar-algorithm
Language:Jupyter Notebook 7
ilias-ant / recommender-systems
Implementing various Recommender Systems.
recommender-systems federated-learning collaborative-filtering deep-matrix-factorization movielens
Language:Jupyter Notebook 7
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.
matplotlib movielens movielens-data-analysis netflix-dataset pandas-tutorial seaborn titanic plotly
Language:Jupyter Notebook 7
ravexina / python-recommender-system
A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.
recommender-system recommender-systems movielens userknn itemknn python-recommender python-recommendation cosine-similarity pearson-correlation mae prediction-coverage
Language:Python 7
munir-bd / LSTM-for-MovieLens
Project focus on LSTM model for MovieLens.
lstm lstm-neural-networks movielens
Language:Python 6
shah314 / BPR
Bayesian Personalized Ranking in Python
bpr bayesian bayesian-personalized-ranking python recommender-systems personalization hit-rate movielens movielens-dataset collaborative-filtering
Language:Python 6
FloweryK / Matrix-Factorization-Techniques-for-Recommender-Systems
Pytorch implementation of Netflix recommender system
recommender-system recsys netflix movielens pytorch
Language:Python 5
Lal4Tech / movielens-data-exploration
Exploratory data analysis of movielesns-1m dataset
exploratory-data-analysis python3 jupyter-notebook movielens-dataset movielens
Language:Jupyter Notebook 5
mbodenham / k-nn-movie-recommender
User-based collaborative filtering movie recommender using MovieLens dataset
k-nearest-neighbours knn movielens recommender-system user-based-recommendation
Language:Python 5

movielens

khanhnamle1994 / movielens

fuxuemingzhu / MovieLens-Recommender

guocheng18 / Sequential-Recommendation-Datasets

javascript-machine-learning / movielens-recommender-system-javascript

xei / recommender-system-tutorial

mayukh18 / reco

yxtay / recommender-tensorflow

sadighian / recommendation-gym

o19s / elastic-graph-recommender

SebastianRokholt / Hybrid-Recommender-System

IBM / turi-create-movie-recommender

biolab / orange3-recommendation

abhilampard / Movie_Recommendation_Engine

Captain-SpongeBob / MovieRecommendSystem

m-clark / noiris

nicolasfguillaume / Recommender-Systems-Making-Movies-Recommendation

Swalloow / pyspark-ml-examples

soran-ghaderi / EfficientCoF

Upasanadhameliya / Django-Movie-Recommendor

longseespace / movielens

CVxTz / Recommender_keras

sileod / language-model-recommendation

wuliwei9278 / ml-1m

mangaki / zero

shik3519 / collaborative-filtering

alagoa / letterboxd_to_movielens

gentaiscool / pmf

akthammomani / MAXELLA-APP-Movies-Tensorflow-Recommenders-TFRS

ilias-ant / recommender-systems

MelihGulum / Exploratory-Data-Analysis-EDA

ravexina / python-recommender-system

munir-bd / LSTM-for-MovieLens

shah314 / BPR

FloweryK / Matrix-Factorization-Techniques-for-Recommender-Systems

Lal4Tech / movielens-data-exploration

mbodenham / k-nn-movie-recommender