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RecommenderSystems

Amazon.com Recommendations Item-to-Item Collaborative Filtering

Amazon.com Recommendations Item-to-Item Collaborative Filtering

RecommenderSystems2003CFemmmheuristicIEEE
AutoRec: Autoencoders Meet Collaborative Filtering

AutoRec: Autoencoders Meet Collaborative Filtering

AutoEncoderRecommenderSystems2015emmmheuristicseminalWWWCF
Learning to Augment for Casual User Recommendation

Learning to Augment for Casual User Recommendation

RecommenderSystems2022augmentationemmmheuristicWWW
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features

RecommenderSystems2016empiricalnovelseminalSIGKDDCTR
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

RobustLearningRecommenderSystems2021AAAIemmmfairnessheuristicnews
How Powerful is Graph Convolution for Recommendation?

How Powerful is Graph Convolution for Recommendation?

RepresentationLearniRecommenderSystems2021graphseminalwowtheoreticalCIKM
Graph Embedding for Recommendation against Attribute Inference Attacks

Graph Embedding for Recommendation against Attribute Inference Attacks

RobustLearningRecommenderSystems2021graphnoveltheoreticalWWWdifferentialprivacy
Causal Representation Learning for Out-of-Distribution Recommendation

Causal Representation Learning for Out-of-Distribution Recommendation

CausalInferenceRecommenderSystems2022heuristicnovelWWWOOD
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems

RobustLearningRecommenderSystems2022emmmheuristicSIGIRfairness
推荐系统数据集

推荐系统数据集

RecommenderSystems
Fairness among New Items in Cold Start Recommender Systems

Fairness among New Items in Cold Start Recommender Systems

RobustLearningRecommenderSystems2021fairnessheuristicnovelseminalSIGIRcoldstart
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

CausalInferenceRecommenderSystems2021heuristicnovelSIGKDDbias
Attacking Recommender Systems with Augmented User Profiles

Attacking Recommender Systems with Augmented User Profiles

GANRobustLearningRecommenderSystems2020adversarialattackemmmheuristicCIKM
Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Pr

Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Pr

RobustLearningRecommenderSystems2015adversarialgraphheuristicIJCAInoveldetection
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

RecommenderSystems2017CTRFMheuristicIJCAInovelseminal
Neural Factorization Machines for Sparse Predictive Analytics

Neural Factorization Machines for Sparse Predictive Analytics

RecommenderSystems2017CTRemmmFMheuristicSIGIR
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networ

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networ

RecommenderSystems2017attentionFMheuristicIJCAInovelseminal
Adversarial Personalized Ranking for Recommendation

Adversarial Personalized Ranking for Recommendation

RobustLearningRecommenderSystems2018adversarialemmmheuristicSIGIRMF
Practical Data Poisoning Attack against Next-Item Recommendation

Practical Data Poisoning Attack against Next-Item Recommendation

RobustLearningRecommenderSystems2020adversarialattackheuristicnovelWWWblack-box
Graph Convolutional Matrix Completion

Graph Convolutional Matrix Completion

RecommenderSystems2017empiricalGCNgraphnovelSIGKDD

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