zpengc's Stars
RUCAIBox/RecBole-GNN
Efficient and extensible GNNs enhanced recommender library based on RecBole.
snownus/pinterest_crawler
a system for pinterest crawling
jisu1013/DGCF_torch
Pytorch implementation of DGCF
claws-lab/jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
huangtinglin/NGCF-PyTorch
PyTorch Implementation for Neural Graph Collaborative Filtering
qibinc/RippleNet-PyTorch
A PyTorch implementation of RippleNet
AmazingDD/item2vec-pytorch
Notice that there are no torch-related code about item2vec, I just want to provide a readable item2vec implementation for researchers
AmazingDD/daisyRec
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
SCUTJoeham/DCF
This is implementation Discrete-Collaborative-Filtering in python
sh-tatsuno/Discrete-Collaborative-Filtering-python
hanwangzhang/Discrete-Collaborative-Filtering
RUCAIBox/RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
edervishaj/pinterest-recsys-dataset
Pinterest dataset released with the paper "Learning Image and User Features for Recommendation in Social Networks" by Xue Geng et al. in CSV format.
newspicks/eals
A Python implementation of the element-wise alternating least squares (eALS) for fast online matrix factorization proposed by arXiv:1708.05024
hexiangnan/sigir16-eals
Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
CRIPAC-DIG/DGCF
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
makgyver/pyros
[PY]thon [R]ec[O]mmender [S]ystems library
miaomiaosang/top_n_recommendation
shah314/BPR
Bayesian Personalized Ranking in Python
valerystrizh/bpr
Bayesian Personalized Ranking from Implicit Feedback in Java
gamboviol/bpr
Bayesian Personalized Ranking
dima-tuberlin/publications-ssnmm
Experiments for the publication 'Scalable Similarity-Based Neighborhood Methods with MapReduce' at the ACM Recommender Systems Conference 2012
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
WayneDW/DeepLight_Deep-Lightweight-Feature-Interactions
Accelerating Inference for Recommendation Systems (WSDM'21)
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
zgahhblhc/ESAPN
Implementation of the SIGIR 2020 paper "Automated Embedding Size Search in Deep Recommender Systems"
ssui-liu/learnable-embed-sizes-for-RecSys
A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
chentingpc/kdcode-lm
Code for Learning K-way D-dimensional Discrete Codes For Compact Embedding Representations
dsv77/hashembedding
Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"