Awesome-RSPapers

Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021, SIGIR 2021

Task
Topic
Technique
Analysis
Other

Task

Collaborative Filtering

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. SIGIR 2020
Deep Critiquing for VAE-based Recommender Systems. SIGIR 2020
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR 2020
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD 2020
Dual Channel Hypergraph Collaborative Filtering. KDD 2020
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD 2020
Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys 2020
Bilateral Variational Autoencoder for Collaborative Filtering. WSDM 2021
Learning User Representations with Hypercuboids for Recommender Systems. WSDM 2021
Local Collaborative Autoencoders. WSDM 2021
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion. WWW 2021
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. WWW 2021
High-dimensional Sparse Embeddings for Collaborative Filtering. WWW 2021
Collaborative Filtering with Preferences Inferred from Brain Signals. WWW 2021
Interest-aware Message-Passing GCN for Recommendation. WWW 2021
Neural Collaborative Reasoning. WWW 2021
Sinkhorn Collaborative Filtering. WWW 2021
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR 2021
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. SIGIR 2021
Neural Graph Matching based Collaborative Filtering. SIGIR 2021
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR 2021

Sequential/Session-based Recommendations

Sequential Recommendation with Self-attentive Multi-adversarial Network. SIGIR 2020
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020
Modeling Personalized Item Frequency Information for Next-basket Recommendation. SIGIR 2020
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. SIGIR 2020
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR 2020
Next-item Recommendation with Sequential Hypergraphs. SIGIR 2020
A General Network Compression Framework for Sequential Recommender Systems. SIGIR 2020
Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. SIGIR 2020
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR 2020
Self-Supervised Reinforcement Learning for Recommender Systems. SIGIR 2020
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR 2020
Controllable Multi-Interest Framework for Recommendation. KDD 2020
Disentangled Self-Supervision in Sequential Recommenders. KDD 2020
Handling Information Loss of Graph Neural Networks for Session-based Recommendation. KDD 2020
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys 2020
FISSA:Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. RecSys 2020
From the lab to production: A case study of session-based recommendations in the home-improvement domain. RecSys 2020
Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de. RecSys 2020
SSE-PT:Sequential Recommendation Via Personalized Transformer. RecSys 2020
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM 2020
Quaternion-based self-Attentive Long Short-term User Preference Encoding for Recommendation. CIKM 2020
Sequential Recommender via Time-aware Attentive Memory Network. CIKM 2020
Star Graph Neural Networks for Session-based Recommendation. CIKM 2020
Dynamic Memory Based Attention Network for Sequential Recommendation. AAAI 2021
Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation. AAAI 2021
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021
An Efficient and Effective Framework for Session-based Social Recommendation. WSDM 2021
Sparse-Interest Network for Sequential Recommendation. WSDM 2021
Dynamic Embeddings for Interaction Prediction. WWW 2021
Session-aware Linear Item-Item Models for Session-based Recommendation. WWW 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. WWW 2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. WWW 2021
Future-Aware Diverse Trends Framework for Recommendation. WWW 2021
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. WWW 2021
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021
Category-aware Collaborative Sequential Recommendation. SIGIR 2021
Sequential Recommendation with Graph Convolutional Networks. SIGIR 2021
Dual Attention Transfer in Session-based Recommendation with Multi Dimensional Integration. SIGIR 2021
Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR 2021
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR 2021
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. SIGIR 2021
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. SIGIR 2021
Motif-aware Sequential Recommendation. SIGIR 2021
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021

Knowledge-aware Recommendations

CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. SIGIR 2020
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR 2020
MVIN: Learning multiview items for recommendation. SIGIR 2020
Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. SIGIR 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR 2020
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR 2020
SimClusters Community-Based Representations for Heterogenous Recommendations at Twitter. KDD 2020
Multi-modal Knowledge Graphs for Recommender Systems. CIKM 2020
DisenHAN Disentangled Heterogeneous Graph Attention Network for Recommendation. CIKM 2020
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network. CIKM 2020
TGCN Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM 2020
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021
Graph Heterogeneous Multi-Relational Recommendation. AAAI 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. WSDM2021
Decomposed Collaborative Filtering Modeling Explicit and Implicit Factors For Recommender Systems. WSDM 2021
Temporal Meta-path Guided Explainable Recommendation. WSDM 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021

Feature Interactions

Detecting Beneficial Feature Interactions for Recommender Systems. AAAI 2021
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM 2021
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021
FM^2: Field-matrixed Factorization Machines for CTR Prediction. WWW 2021

Conversational Recommender System

Towards Question-based Recommender Systems. SIGIR 2020
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. KDD 2020
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems. RecSys 2020
What does BERT know about books, movies and music： Probing BERT for Conversational Recommendation. RecSys 2020
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM 2021
A Workflow Analysis of Context-driven Conversational Recommendation. WWW 2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021
Comparison-based Conversational Recommender System with Relative Bandit Feedback. SIGIR 2021

Social Recommendations

Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. CIKM 2020
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. WWW 2021
Dual Side Deep Context-aware Modulation for Social Recommendation. WWW 2021
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW 2021

News Recommendation

KRED:Knowledge-Aware Document Representation for News Recommendations. RecSys 2020
News Recommendation with Topic-Enriched Knowledge Graphs. CIKM 2020
The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. WWW 2021
Personalized News Recommendation with Knowledge-aware News Interactions. SIGIR 2021
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021

Text-aware Recommendations

TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. RecSys 2020
Set-Sequence-Graph A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM 2020
TPR: Text-aware Preference Ranking for Recommender Systems. CIKM 2020
Leveraging Review Properties for Effective Recommendation. WWW 2021

POI

HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. SIGIR 2020
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. SIGIR 2020
Geography-Aware Sequential Location Recommendation. KDD 2020
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. CIKM 2020
STP-UDGAT Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CIKM 2020
STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation. WWW 2021
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. WWW 2021

Online Recommendations

Gemini: A novel and universal heterogeneous graph information fusing framework for online recommendations. KDD 2020
Maximizing Cumulative User Engagement in Sequential Recommendation An Online Optimization Perspective. KDD 2020
Exploring Clustering of Bandits for Online Recommendation System. RecSys 2020
Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. RecSys 2020
A Hybrid Bandit Framework for Diversified Recommendation. AAAI 2021

Group Recommendation

GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. SIGIR 2020
GroupIM: A Mutual Information Maximizing Framework for Neural Group Recommendation. SIGIR 2020
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR 2020

Multi-task/Multi-behavior/Cross-domain Recommendations

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020
Multi-behavior Recommendation with Graph Convolution Networks. SIGIR 2020
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR 2020
Web-to-Voice Transfer for Product Recommendation on Voice. SIGIR 2020
Jointly Learning to Recommend and Advertise. KDD 2020
Progressive Layered Extraction (PLE) A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. RecSys 2020
Whole-Chain Recommendations. CIKM 2020
Personalized Approximate Pareto-Efficient Recommendation. WWW 2021
Federated Collaborative Transfer for Cross-Domain Recommendation. SIGIR 2021
Learning Domain Semantics and Cross-Domain Correlations for Paper Recommendation. SIGIR 2021
Graph Meta Network for Multi-Behavior Recommendation with Interaction Heterogeneity and Diversity. SIGIR 2021

Other Task

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR 2020
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020
Goal-driven Command Recommendations for Analysts. RecSys 2020
MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. RecSys 2020
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. RecSys 2020
RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. RecSys 2020
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. CIKM 2020
Learning to Recommend from Sparse Data via Generative User Feedback. AAAI 2021
Real-time Relevant Recommendation Suggestion. WSDM 2021
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM 2021
FINN: Feedback Interactive Neural Network for Intent Recommendation. WWW 2021
Drug Package Recommendation via Interaction-aware Graph Induction. WWW 2021
Large-scale Comb-K Recommendation. WWW 2021
Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021
Diversified Recommendation Through Similarity-Guided Graph Neural Networks. WWW 2021
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. SIGIR 2021
UGRec: Modeling Directed and Undirected Relations for Recommendation. SIGIR 2021
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021
PreSizE: Predicting Size in E-Commerce using Transformers. SIGIR 2021
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. SIGIR 2021

Topic

Debias in Recommender System

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR 2020
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR 2020
Attribute-based Propensity for Unbiased Learning in Recommender Systems Algorithm and Case Studies. KDD 2020
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD 2020
Debiasing Item-to-Item Recommendations With Small Annotated Datasets. RecSys 2020
Keeping Dataset Biases out of the Simulation : A Debiased Simulator for Reinforcement Learning based Recommender Systems. RecSys 2020
Unbiased Ad Click Prediction for Position-aware Advertising Systems. RecSys 2020
Unbiased Learning for the Causal Effect of Recommendation. RecSys 2020
E-commerce Recommendation with Weighted Expected Utility. CIKM 2020
Popularity-Opportunity Bias in Collaborative Filtering. WSDM 2021
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. WSDM 2021
Leave No User Behind Towards Improving the Utility of Recommender Systems for Non-mainstream Users. WSDM 2021
Non-Clicks Mean Irrelevant Propensity Ratio Scoring As a Correction. WSDM 2021
Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM 2021
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021
Cross-Positional Attention for Debiasing Clicks. WWW 2021
Debiasing Career Recommendations with Neural Fair Collaborative Filtering. WWW 2021
AutoDebias: Learning to Debias for Recommendation. SIGIR 2021
Mitigating Sentiment Bias for Recommender Systems. SIGIR 2021
Causal Intervention for Leveraging Popularity Bias in Recommendation. SIGIR 2021
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR 2021

Fairness in Recommender System

Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR 2020
Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance. RecSys 2020
Fairness-Aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021 news
Practical Compositional Fairness Understanding Fairness in Multi-Component Recommender Systems. WSDM 2021
Towards Long-term Fairness in Recommendation. WSDM 2021
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021
User-oriented Group Fairness In Recommender Systems. WWW 2021
Personalized Counterfactual Fairness in Recommendation. SIGIR 2021
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. SIGIR 2021
Fairness among New Items in Cold Start Recommender Systems. SIGIR 2021

Attack in Recommender System

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. RecSys 2020
Attacking Recommender Systems with Augmented User Profiles. CIKM 2020
A Black-Box Attack Model for Visually-Aware Recommenders. WSDM 2021
Denoising Implicit Feedback for Recommendation. WSDM 2021
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. WWW 2021
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021

Explanation in Recommender System

Try This Instead: Personalized and Interpretable Substitute Recommendation. KDD 2020
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM 2020
Explainable Recommender Systems via Resolving Learning Representations. CIKM 2020
Generate Neural Template Explanations for Recommendation. CIKM 2020
Explainable Recommendation with Comparative Constraints on Product Aspects. WSDM 2021
Explanation as a Defense of Recommendation. WSDM 2021
EX^3: Explainable Product Set Recommendation for Comparison Shopping. WWW 2021
Learning from User Feedback on Explanations to Improve Recommender Models. WWW 2021
On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR 2021
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. SIGIR 2021
User-Centric Path Reasoning towards Explainable Recommendation. SIGIR 2021

Long-tail/Cold-start in Recommendations

Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD 2020
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. KDD 2020
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. KDD 2020
Cold-Start Sequential Recommendation via Meta Learner. AAAI 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. AAAI 2021
Task-adaptive Neural Process for User Cold-Start Recommendation. WWW 2021
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction. SIGIR 2021
FORM: Follow the Online Regularized Meta-Leader for Cold-Start Recommendation. SIGIR 2021
Privileged Graph Distillation for Cold-start Recommendation. SIGIR 2021
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR 2021
Fairness among New Items in Cold Start Recommender Systems. SIGIR 2021

Diversity in Recommendations

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity. NIPS 2018. PDF
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. IJCAI 2019. PDF
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019. PDF
Diversified Interactive Recommendation with Implicit Feedback. AAAI 2020. PDF
ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry. CIKM 2020. PDF
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD 2020. PDF
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. SIGIR 2020. PDF
A Hybrid Bandit Framework for Diversified Recommendation. AAAI 2021. PDF
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. CIKM 2021. PDF
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM 2021. PDF
Sliding Spectrum Decomposition for Diversified Recommendation. KDD 2021. PDF
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR 2021. PDF
Dynamic Graph Construction for Improving Diversity of Recommendation. RecSys 2021. PDF
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys 2021. PDF
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021. PDF
Future-Aware Diverse Trends Framework for Recommendation. WWW 2021. PDF
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. WWW 2021. PDF

Evaluation

Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. SIGIR 2020
Evaluating Conversational Recommender Systems via User Simulation. KDD 2020
On Sampled Metrics for Item Recommendation. KDD 2020
On Sampling Top-K Recommendation Evaluation. KDD 2020
Are We Evaluating Rigorously： Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020
On Target Item Sampling in Offline Recommender System Evaluation. RecSys 2020
Standing in Your Shoes: External Assessments for Personalized Recommender Systems. SIGIR 2021

Technique

Pre-training in Recommender System

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM 2020
Self-supervised Learning for Large-scale Item Recommendations. arXiv 2020
U-BERT Pre-Training User Representations for Improved Recommendation. AAAI 2021
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. SIGIR 2021
Self-supervised Graph Learning for Recommendation. SIGIR 2021
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW 2021
Pre-training Graph Transformer with Multimodal Side Information for Recommendation. ACM MM2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. arXiv 2021
UPRec: User-Aware Pre-training for Recommender Systems. arXiv 2021
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. arXiv 2021
One4all User Representation for Recommender Systems in E-commerce. arXiv 2021
Graph Neural Pre-training for Enhancing Recommendations using Side Information. arXiv 2021

Reinforcement Learning in Recommendations

MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations. SIGIR 2020
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020
Joint Policy-Value Learning for Recommendation. KDD 2020
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD 2020
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys 2020
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI 2021
User Response Models to Improve a REINFORCE Recommender System. WSDM 2021
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021
A Multi-Agent Reinforcement Learning Framework for Intelligent Electric Vehicle Charging Recommendation. WWW 2021
Reinforcement Recommendation with User Multi-aspect Preference. WWW 2021
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. SIGIR 2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021

Knowledge Distillation in Recommendations

Privileged Features Distillation at Taobao Recommendations. KDD 2020
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020
Bidirectional Distillation for Top-K Recommender System. WWW 2021

NAS in Recommendations

Neural Input Search for Large Scale Recommendation Models. KDD 2020
Field-aware Embedding Space Searching in Recommender Systems. WWW 2021

Federated Learning in Recommendations

FedFast Going Beyond Average for Faster Training of Federated Recommender Systems. KDD 2020

GNN in Recommendations

Neural Graph Collaborative Filtering. SIGIR 2019
A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019
Graph Neural Networks for Social Recommendation. WWW 2019
Knowledge Graph Convolutional Networks for Recommender Systems. WWW 2019
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019
Session-based recommendation with graph neural networks. AAAI 2019
Graph contextualized self-attention network for session-based recommendation. IJCAI 2019
Session-based social recommendation via dynamic graph attention networks. WSDM 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. WWW 2019
Bundle Recommendation with Graph Convolutional Networks. SIGIR 2020
Sequential Recommendation with Graph Convolutional Networks. SIGIR 2021
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. SIGIR 2021
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. SIGIR 2021
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR 2021
A Graph-Convolutional Ranking Approach to Leverage the Relational Aspects of User-Generated Content. SIGIR 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. SIGIR 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction. SIGIR 2021
Neural Graph Matching based Collaborative Filtering. SIGIR 2021
Modeling Intent Graph for Search Result Diversification. SIGIR 2021
User-Centric Path Reasoning towards Explainable Recommendation. SIGIR 2021
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR 2021
Privileged Graph Distillation for Cold-start Recommendation. SIGIR 2021
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection. SIGIR 2021
Meta-Inductive Node Classification across Graphs. SIGIR 2021
Self-supervised Graph Learning for Recommendation. SIGIR 2021
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR 2021
Graph Meta Network for Multi-Behavior Recommendation with Interaction Heterogeneity and Diversity. SIGIR 2021
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR 2021
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR 2021
WGCN: Graph Convolutional Networks with Weighted Structural Features. SIGIR 2021

Analysis

How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. SIGIR 2020
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR 2020
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. CIKM 2020
On Estimating Recommendation Evaluation Metrics under Sampling. AAAI 2021
Beyond Point Estimate Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. WSDM 2021
Bias-Variance Decomposition for Ranking. WSDM 2021
Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM 2021

Other

Learning Personalized Risk Preferences for Recommendation. SIGIR 2020
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems. SIGIR 2020
Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. SIGIR 2020
How to Retrain a Recommender System? SIGIR 2020
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR 2020
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems. KDD 2020
Improving Recommendation Quality in Google Drive. KDD 2020
A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. RecSys 2020
Exploiting Performance Estimates for Augmenting Recommendation Ensembles. RecSys 2020
User Simulation via Supervised Generative Adversarial Network. WWW 2021

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RUCAIBox / Awesome-RSPapers

Awesome-RSPapers

Task

Collaborative Filtering

Sequential/Session-based Recommendations

Knowledge-aware Recommendations

Feature Interactions

Conversational Recommender System

Social Recommendations

News Recommendation

Text-aware Recommendations

POI

Online Recommendations

Group Recommendation

Multi-task/Multi-behavior/Cross-domain Recommendations

Other Task

Topic

Debias in Recommender System

Fairness in Recommender System

Attack in Recommender System

Explanation in Recommender System

Long-tail/Cold-start in Recommendations

Diversity in Recommendations

Evaluation

Technique

Pre-training in Recommender System

Reinforcement Learning in Recommendations

Knowledge Distillation in Recommendations

NAS in Recommendations

Federated Learning in Recommendations

GNN in Recommendations

Analysis

Other