Papers with Code 아카이브

Collaborative Filtering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

4

보존된 평가 기록

30

코드

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

https://github.com/xinyu-intel/ncf_mxnet

Neural Collaborative Filtering

https://github.com/yanyangbaobeiIsEmma/Reinforcement-Learning-Contextual-Bandits

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/yeganegi-reza/torch-gru4rec

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

https://github.com/yil479/yelp_review

Neural Collaborative Filtering

https://github.com/youngandbin/pfotgnrec

Large-scale Recommendation for Portfolio Optimization

https://github.com/youngch12/Cluster_KGCN

Knowledge Graph Convolutional Networks for Recommender Systems

https://github.com/younggyoseo/vae-cf-pytorch

Variational Autoencoders for Collaborative Filtering

https://github.com/yrbahn/Deep-AutoEncoders-for-Collaborative-Filtering

Training Deep AutoEncoders for Collaborative Filtering

https://github.com/zhangluoyang/LinUCB

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/zhrlove/NPE

NPE: Neural Personalized Embedding for Collaborative Filtering

https://github.com/zuirod/mg-gat

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

https://github.com/zzaebok/KGCN-pytorch

Knowledge Graph Convolutional Networks for Recommender Systems

https://github.com/zzz2010/ngcf-paddle2

Neural Graph Collaborative Filtering

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