Awesome-RSPapers
Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021
- 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
- Technique
- Analysis
- Other
Task
Collaborative Filtering
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. SIGIR 2020
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Deep Critiquing for VAE-based Recommender Systems. SIGIR 2020
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Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR 2020
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A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD 2020
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Dual Channel Hypergraph Collaborative Filtering. KDD 2020
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Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD 2020
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Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. RecSys 2020
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Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys 2020
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Bilateral Variational Autoencoder for Collaborative Filtering. WSDM 2021
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Learning User Representations with Hypercuboids for Recommender Systems. WSDM 2021
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Local Collaborative Autoencoders. WSDM 2021
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A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion. WWW 2021
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HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. WWW 2021
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High-dimensional Sparse Embeddings for Collaborative Filtering. WWW 2021
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Collaborative Filtering with Preferences Inferred from Brain Signals. WWW 2021
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Interest-aware Message-Passing GCN for Recommendation. WWW 2021
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Neural Collaborative Reasoning. WWW 2021
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Sinkhorn Collaborative Filtering. WWW 2021
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Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW 2021
Sequential/Session-based Recommendations
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Sequential Recommendation with Self-attentive Multi-adversarial Network. SIGIR 2020
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KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. SIGIR 2020
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Modeling Personalized Item Frequency Information for Next-basket Recommendation. SIGIR 2020
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Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. SIGIR 2020
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GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR 2020
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Next-item Recommendation with Sequential Hypergraphs. SIGIR 2020
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A General Network Compression Framework for Sequential Recommender Systems. SIGIR 2020
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Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. SIGIR 2020
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Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR 2020
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Self-Supervised Reinforcement Learning for Recommender Systems. SIGIR 2020
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Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR 2020
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Controllable Multi-Interest Framework for Recommendation. KDD 2020
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Disentangled Self-Supervision in Sequential Recommenders. KDD 2020
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Handling Information Loss of Graph Neural Networks for Session-based Recommendation. KDD 2020
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Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. RecSys 2020
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FISSA:Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. RecSys 2020
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From the lab to production: A case study of session-based recommendations in the home-improvement domain. RecSys 2020
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Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de. RecSys 2020
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SSE-PT:Sequential Recommendation Via Personalized Transformer. RecSys 2020
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Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM 2020
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Quaternion-based self-Attentive Long Short-term User Preference Encoding for Recommendation. CIKM 2020
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Sequential Recommender via Time-aware Attentive Memory Network. CIKM 2020
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Star Graph Neural Networks for Session-based Recommendation. CIKM 2020
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Dynamic Memory Based Attention Network for Sequential Recommendation. AAAI 2021
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Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation. AAAI 2021
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Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. AAAI 2021
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An Efficient and Effective Framework for Session-based Social Recommendation. WSDM 2021
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Sparse-Interest Network for Sequential Recommendation. WSDM 2021
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Dynamic Embeddings for Interaction Prediction. WWW 2021
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Session-aware Linear Item-Item Models for Session-based Recommendation. WWW 2021
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RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. WWW 2021
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Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. WWW 2021
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Future-Aware Diverse Trends Framework for Recommendation. WWW 2021
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DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. WWW 2021
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Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021
Knowledge-aware Recommendations
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CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. SIGIR 2020
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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. SIGIR 2020
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MVIN: Learning multiview items for recommendation. SIGIR 2020
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Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. SIGIR 2020
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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR 2020
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Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR 2020
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SimClusters Community-Based Representations for Heterogenous Recommendations at Twitter. KDD 2020
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Multi-modal Knowledge Graphs for Recommender Systems. CIKM 2020
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DisenHAN Disentangled Heterogeneous Graph Attention Network for Recommendation. CIKM 2020
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Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network. CIKM 2020
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TGCN Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM 2020
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Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021
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Graph Heterogeneous Multi-Relational Recommendation. AAAI 2021
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Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021
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Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. WSDM2021
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Decomposed Collaborative Filtering Modeling Explicit and Implicit Factors For Recommender Systems. WSDM 2021
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Temporal Meta-path Guided Explainable Recommendation. WSDM 2021
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Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021
Feature Interactions
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Detecting Beneficial Feature Interactions for Recommender Systems. AAAI 2021
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DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM 2021
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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021
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FM^2: Field-matrixed Factorization Machines for CTR Prediction. WWW 2021
Conversational Recommender System
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Towards Question-based Recommender Systems. SIGIR 2020
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Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. KDD 2020
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Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020
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A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems. RecSys 2020
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What does BERT know about books, movies and music: Probing BERT for Conversational Recommendation. RecSys 2020
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Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation. WSDM 2021
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A Workflow Analysis of Context-driven Conversational Recommendation. WWW 2021
Social Recommendations
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Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. CIKM 2020
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Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. WWW 2021
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Dual Side Deep Context-aware Modulation for Social Recommendation. WWW 2021
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Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. WWW 2021
News Recommendation
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KRED:Knowledge-Aware Document Representation for News Recommendations. RecSys 2020
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News Recommendation with Topic-Enriched Knowledge Graphs. CIKM 2020
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The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. WWW 2021
Text-aware Recommendations
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TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. RecSys 2020
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Set-Sequence-Graph A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM 2020
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TPR: Text-aware Preference Ranking for Recommender Systems. CIKM 2020
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Leveraging Review Properties for Effective Recommendation. WWW 2021
POI
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HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. SIGIR 2020
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Spatial Object Recommendation with Hints: When Spatial Granularity Matters. SIGIR 2020
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Geography-Aware Sequential Location Recommendation. KDD 2020
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Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. CIKM 2020
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STP-UDGAT Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. CIKM 2020
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STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation. WWW 2021
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Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. WWW 2021
Online Recommendations
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Gemini: A novel and universal heterogeneous graph information fusing framework for online recommendations. KDD 2020
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Maximizing Cumulative User Engagement in Sequential Recommendation An Online Optimization Perspective. KDD 2020
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Exploring Clustering of Bandits for Online Recommendation System. RecSys 2020
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Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. RecSys 2020
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A Hybrid Bandit Framework for Diversified Recommendation. AAAI 2021
Group Recommendation
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GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. SIGIR 2020
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GroupIM: A Mutual Information Maximizing Framework for Neural Group Recommendation. SIGIR 2020
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Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR 2020
Multi-task/Multi-behavior/Cross-domain Recommendations
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Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020
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CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020
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Multi-behavior Recommendation with Graph Convolution Networks. SIGIR 2020
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Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR 2020
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Web-to-Voice Transfer for Product Recommendation on Voice. SIGIR 2020
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Jointly Learning to Recommend and Advertise. KDD 2020
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Progressive Layered Extraction (PLE) A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. RecSys 2020
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Whole-Chain Recommendations. CIKM 2020
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Personalized Approximate Pareto-Efficient Recommendation. WWW 2021
Other Task
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Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR 2020
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Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020
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Goal-driven Command Recommendations for Analysts. RecSys 2020
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MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. RecSys 2020
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PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. RecSys 2020
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RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. RecSys 2020
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Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. CIKM 2020
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Learning to Recommend from Sparse Data via Generative User Feedback. AAAI 2021
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Real-time Relevant Recommendation Suggestion. WSDM 2021
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Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM 2021
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FINN: Feedback Interactive Neural Network for Intent Recommendation. WWW 2021
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Drug Package Recommendation via Interaction-aware Graph Induction. WWW 2021
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Large-scale Comb-K Recommendation. WWW 2021
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Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021
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Diversified Recommendation Through Similarity-Guided Graph Neural Networks. WWW 2021
Topic
Debias in Recommender System
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A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR 2020
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Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. SIGIR 2020
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Attribute-based Propensity for Unbiased Learning in Recommender Systems Algorithm and Case Studies. KDD 2020
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Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions. KDD 2020
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Debiasing Item-to-Item Recommendations With Small Annotated Datasets. RecSys 2020
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Keeping Dataset Biases out of the Simulation : A Debiased Simulator for Reinforcement Learning based Recommender Systems. RecSys 2020
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Unbiased Ad Click Prediction for Position-aware Advertising Systems. RecSys 2020
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Unbiased Learning for the Causal Effect of Recommendation. RecSys 2020
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E-commerce Recommendation with Weighted Expected Utility. CIKM 2020
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Popularity-Opportunity Bias in Collaborative Filtering. WSDM 2021
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Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. WSDM 2021
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Leave No User Behind Towards Improving the Utility of Recommender Systems for Non-mainstream Users. WSDM 2021
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Non-Clicks Mean Irrelevant Propensity Ratio Scoring As a Correction. WSDM 2021
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Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM 2021
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Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021
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Cross-Positional Attention for Debiasing Clicks. WWW 2021
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Debiasing Career Recommendations with Neural Fair Collaborative Filtering. WWW 2021
Fairness in Recommender System
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Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR 2020
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Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance. RecSys 2020
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Fairness-Aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021 news
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Practical Compositional Fairness Understanding Fairness in Multi-Component Recommender Systems. WSDM 2021
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Towards Long-term Fairness in Recommendation. WSDM 2021
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Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021
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User-oriented Group Fairness In Recommender Systems. WWW 2021
Attack in Recommender System
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Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. RecSys 2020
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Attacking Recommender Systems with Augmented User Profiles. CIKM 2020
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A Black-Box Attack Model for Visually-Aware Recommenders. WSDM 2021
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Denoising Implicit Feedback for Recommendation. WSDM 2021
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Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. WWW 2021
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Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021
Explanation in Recommender System
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Try This Instead: Personalized and Interpretable Substitute Recommendation. KDD 2020
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CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM 2020
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Explainable Recommender Systems via Resolving Learning Representations. CIKM 2020
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Generate Neural Template Explanations for Recommendation. CIKM 2020
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Explainable Recommendation with Comparative Constraints on Product Aspects. WSDM 2021
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Explanation as a Defense of Recommendation. WSDM 2021
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EX^3: Explainable Product Set Recommendation for Comparison Shopping. WWW 2021
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Learning from User Feedback on Explanations to Improve Recommender Models. WWW 2021
Long-tail/Cold-start in Recommendations
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Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020
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MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD 2020
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Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. KDD 2020
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Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. KDD 2020
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Cold-Start Sequential Recommendation via Meta Learner. AAAI 2021
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Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. AAAI 2021
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Task-adaptive Neural Process for User Cold-Start Recommendation. WWW 2021
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A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW 2021
Evaluation
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Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. SIGIR 2020
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Evaluating Conversational Recommender Systems via User Simulation. KDD 2020
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On Sampled Metrics for Item Recommendation. KDD 2020
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On Sampling Top-K Recommendation Evaluation. KDD 2020
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Are We Evaluating Rigorously: Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020
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On Target Item Sampling in Offline Recommender System Evaluation. RecSys 2020
Technique
Pre-training in Recommender System
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S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM 2020
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U-BERT Pre-Training User Representations for Improved Recommendation. AAAI 2021
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Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM 2021
Reinforcement Learning in Recommendations
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MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations. SIGIR 2020
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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020
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Joint Policy-Value Learning for Recommendation. KDD 2020
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BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD 2020
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Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys 2020
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Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI 2021
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User Response Models to Improve a REINFORCE Recommender System. WSDM 2021
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Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021
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A Multi-Agent Reinforcement Learning Framework for Intelligent Electric Vehicle Charging Recommendation. WWW 2021
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Reinforcement Recommendation with User Multi-aspect Preference. WWW 2021
Knowledge Distillation in Recommendations
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Privileged Features Distillation at Taobao Recommendations. KDD 2020
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DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020
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Bidirectional Distillation for Top-K Recommender System. WWW 2021
NAS in Recommendations
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Neural Input Search for Large Scale Recommendation Models. KDD 2020
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Field-aware Embedding Space Searching in Recommender Systems. WWW 2021
Federated Learning in Recommendations
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Analysis
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How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. SIGIR 2020
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Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. SIGIR 2020
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Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. CIKM 2020
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On Estimating Recommendation Evaluation Metrics under Sampling. AAAI 2021
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Beyond Point Estimate Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. WSDM 2021
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Bias-Variance Decomposition for Ranking. WSDM 2021
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Theoretical Understandings of Product Embedding for E-commerce Machine Learning. WSDM 2021
Other
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Learning Personalized Risk Preferences for Recommendation. SIGIR 2020
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Distributed Equivalent Substitution Training for Large-Scale Recommender Systems. SIGIR 2020
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Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. SIGIR 2020
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How to Retrain a Recommender System? SIGIR 2020
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Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR 2020
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Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems. KDD 2020
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Improving Recommendation Quality in Google Drive. KDD 2020
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A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. RecSys 2020
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Exploiting Performance Estimates for Augmenting Recommendation Ensembles. RecSys 2020
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User Simulation via Supervised Generative Adversarial Network. WWW 2021