Deep Learning For Recommendation SystemsThis repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Stars: ✭ 2,493 (+3137.66%)
Mutual labels: collaborative-filtering, recommender-system
TIFUKNNkNN-based next-basket recommendation
Stars: ✭ 38 (-50.65%)
Mutual labels: collaborative-filtering, recommender-system
Recommender SystemA developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Stars: ✭ 227 (+194.81%)
Mutual labels: collaborative-filtering, recommender-system
Awesome-Machine-Learning-Papers📖Notes and remarks on Machine Learning related papers
Stars: ✭ 35 (-54.55%)
Mutual labels: collaborative-filtering, recommender-system
SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
Stars: ✭ 32 (-58.44%)
Mutual labels: collaborative-filtering, recommender-system
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+3236.36%)
Mutual labels: collaborative-filtering, recommender-system
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (+57.14%)
Mutual labels: collaborative-filtering, recommender-system
Social-RecommendationSummary of social recommendation papers and codes
Stars: ✭ 143 (+85.71%)
Mutual labels: collaborative-filtering, recommender-system
tf-recsystf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
Stars: ✭ 91 (+18.18%)
Mutual labels: collaborative-filtering, recommender-system
CollaborativememorynetworkCollaborative Memory Network for Recommendation Systems, SIGIR 2018
Stars: ✭ 170 (+120.78%)
Mutual labels: collaborative-filtering, recommender-system
recommender system with Pythonrecommender system tutorial with Python
Stars: ✭ 106 (+37.66%)
Mutual labels: collaborative-filtering, recommender-system
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (+88.31%)
Mutual labels: collaborative-filtering, recommender-system
PolaraRecommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Stars: ✭ 205 (+166.23%)
Mutual labels: collaborative-filtering, recommender-system
Movielens RecommenderA pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Stars: ✭ 131 (+70.13%)
Mutual labels: collaborative-filtering, recommender-system
slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
Stars: ✭ 85 (+10.39%)
Mutual labels: collaborative-filtering, recommender-system
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (+10.39%)
Mutual labels: collaborative-filtering, recommender-system
EnmfThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Stars: ✭ 96 (+24.68%)
Mutual labels: collaborative-filtering, recommender-system
svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
Stars: ✭ 38 (-50.65%)
Mutual labels: collaborative-filtering, recommender-system
Recommendation.jlBuilding recommender systems in Julia
Stars: ✭ 42 (-45.45%)
Mutual labels: collaborative-filtering, recommender-system