Papers with Code 아카이브

Collaborative Filtering

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하위 태스크

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평가표

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보존된 평가 기록

30

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AhmadRK94/NeuEASE

Embarrassingly Shallow Autoencoders for Sparse Data

https://github.com/Akshay1006/Neural-Collaborative-Filtering-for-Recommendation

Neural Collaborative Filtering

https://github.com/AmazingDD/daisyRec

Embarrassingly Shallow Autoencoders for Sparse Data

https://github.com/Andy-TK/COMP90051_Project1

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/ArgentLo/PPNW-KAIS

Collaborative Memory Network for Recommendation Systems

https://github.com/Atomu2014/product-nets-distributed

The Sample Complexity of Online One-Class Collaborative Filtering

https://github.com/Build-Week-Spotify-Song-Suggester-5/Data-Science

A Neural Autoregressive Approach to Collaborative Filtering

https://github.com/CHFsky/ngcf-paddle

Neural Graph Collaborative Filtering

https://github.com/Chinmayrane16/DeepRecommender

Training Deep AutoEncoders for Collaborative Filtering

https://github.com/Darel13712/ease_rec

Embarrassingly Shallow Autoencoders for Sparse Data

https://github.com/Dongbin-Lee-git/NeuMF

Neural Collaborative Filtering

https://github.com/EdoardoPona/Neural-Collaborative-Filtering

Neural Collaborative Filtering

https://github.com/ElPapi42/NeuralMatrixFactorization

Neural Collaborative Filtering

https://github.com/FanusArefaine/Recommendation-Systems---Neural-Collaborative-Filtering-

Neural Collaborative Filtering

https://github.com/FlyingRoastDuck/PGPPM

Leveraging Virtual and Real Person for Unsupervised Person Re-identification

https://github.com/GilbertoPucciarelli/uninet-pucciarelli-tatoli

UniNet: Next Term Course Recommendation using Deep Learning

https://github.com/GitHubLuCheng/Causal-Understanding-of-Fake-News-Dissemination

Neural Graph Collaborative Filtering

https://github.com/Hank-Kuo/RippleNet

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

https://github.com/HareeshBahuleyan/size-fit-net

A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce

https://github.com/HarishFulara07/MCGraphs-scRNAseq

Matrix Completion on Graphs

https://github.com/IamAdiSri/cmn4recosys

Collaborative Memory Network for Recommendation Systems

https://github.com/JShubhM15/recommender_systems

Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems

https://github.com/JerryKwon/melon_plylst_continuation

Training Deep AutoEncoders for Collaborative Filtering

https://github.com/Jessinra/GDP-RippleNet

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

https://github.com/Jessinra/GDP-RippleNet-Ori

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

https://github.com/JiahaoWuGit/DcRec

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

https://github.com/JoonyoungYi/CFNADE-keras

A Neural Autoregressive Approach to Collaborative Filtering

https://github.com/KanchiShimono/KGCN

Knowledge Graph Convolutional Networks for Recommender Systems

https://github.com/Kanika91/diffnet

A Neural Influence Diffusion Model for Social Recommendation

https://github.com/KarhouTam/FedRecon

Federated Reconstruction: Partially Local Federated Learning

https://github.com/Ki-Seki/KGCN-pytorch-updated

Knowledge Graph Convolutional Networks for Recommender Systems

https://github.com/LaceyChen17/neural-collaborative-filtering

Neural Collaborative Filtering

https://github.com/Leavingseason/NeuralCF

Neural Collaborative Filtering

https://github.com/LeeHyeJin91/Neural_CF

Neural Collaborative Filtering

https://github.com/LunaBlack/KGAT-pytorch

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

https://github.com/MTC-ETH/RecommenderSystems

Joint Neural Collaborative Filtering for Recommender Systems

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.