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/abhiverma1924/Recommender_Systems

Neural Collaborative Filtering

https://github.com/acca3003/d2l-es

Learning User Representations with Hypercuboids for Recommender Systems

https://github.com/akhadangi/Multi-armed-Bandits

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/antonismand/Personalized-News-Recommendation

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/apat1n/LightGCN-Pytorch

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

https://github.com/arshadshk/SAINT-pytorch

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

https://github.com/ashishdasari148/Recommender-Systems-using-Collaborative-Filtering

Neural Collaborative Filtering vs. Matrix Factorization Revisited

https://github.com/backgom2357/Recommender_system_via_deep_RL

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling

https://github.com/bcaitech1/p4-dkt-no_caffeine_no_gain

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

https://github.com/bekleyis95/RNN-RecSys

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

https://github.com/billjeffries/mixMemRec

Accurate and scalable social recommendation using mixed-membership stochastic block models

https://github.com/bmxitalia/NCRProject

Neural Collaborative Reasoning

https://github.com/butroy/movie-autoencoder

Training Deep AutoEncoders for Collaborative Filtering

https://github.com/caroprese/CollaborativeMemoryNetwork-master

Collaborative Memory Network for Recommendation Systems

https://github.com/chenchongthu/ENMF

Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering

https://github.com/chenjiyan2001/Paddle-DeepRecommender

Training Deep AutoEncoders for Collaborative Filtering

https://github.com/cheon-research/J-NCF-pytorch

Joint Neural Collaborative Filtering for Recommender Systems

https://github.com/cheon-research/JNCF-pytorch

Joint Neural Collaborative Filtering for Recommender Systems

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

Neural Graph Collaborative Filtering

https://github.com/chris-gomes/steam-game-recommendations

Neural Collaborative Filtering

https://github.com/cydonia999/variational-autoencoders-for-collaborative-filtering-pytorch

Variational Autoencoders for Collaborative Filtering

https://github.com/d2l-ai/d2l-tr

Learning User Representations with Hypercuboids for Recommender Systems

https://github.com/danilprov/batch-bandits

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/dhpark22/collranking

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons

https://github.com/dmlc/dgl/tree/master/examples/mxnet/_deprecated/gcmc

Graph Convolutional Matrix Completion

https://github.com/dmlc/dgl/tree/master/examples/pytorch/NGCF

Neural Graph Collaborative Filtering

https://github.com/domainxz/top-k-rec

Collaborative Deep Learning for Recommender Systems

https://github.com/domkowald/LFM1b-analyses

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems

https://github.com/domkowald/LFM_processing

Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems

https://github.com/dsanno/chainer-cf-nade

A Neural Autoregressive Approach to Collaborative Filtering

https://github.com/enoche/imrec

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering

https://github.com/epistasislab/aliro

Evaluating recommender systems for AI-driven biomedical informatics

https://github.com/estebandito22/DeepContentRecommenders

Deep Content-User Embedding Model for Music Recommendation

https://github.com/facebookresearch/ParlAI

StarSpace: Embed All The Things!

https://github.com/facebookresearch/ReAgent

A Contextual-Bandit Approach to Personalized News Article Recommendation

https://github.com/familyld/DeepCF

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

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