# Awesome-RSPapers **Repository Path**: sremnant/Awesome-RSPapers ## Basic Information - **Project Name**: Awesome-RSPapers - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-04-06 - **Last Updated**: 2021-04-06 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README Awesome-RSPapers ================ Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021 - [Task](#task) - [Collaborative Filtering](#collaborative-filtering) - [Sequential/Session-based Recommendations](#sequentialsession-based-recommendations) - [Knowledge-aware Recommendations](#knowledge-aware-recommendations) - [Feature Interactions](#feature-interactions) - [Conversational Recommender System](#conversational-recommender-system) - [Social Recommendations](#social-recommendations) - [News Recommendation](#news-recommendation) - [Text-aware Recommendations](#text-aware-recommendations) - [POI](#poi) - [Online Recommendations](#online-recommendations) - [Group Recommendation](#group-recommendation) - [Multi-task/Multi-behavior/Cross-domain Recommendations](#multi-taskmulti-behaviorcross-domain-recommendations) - [Other Task](#other-task) - [Topic](#topic) - [Debias in Recommender System](#debias-in-recommender-system) - [Fairness in Recommender System](#fairness-in-recommender-system) - [Attack in Recommender System](#attack-in-recommender-system) - [Explanation in Recommender System](#explanation-in-recommender-system) - [Long-tail/Cold-start in Recommendations](#long-tailcold-start-in-recommendations) - [Evaluation](#evaluation) - [Technique](#technique) - [Pre-training in Recommender System](#pre-training-in-recommender-system) - [Reinforcement Learning in Recommendations](#reinforcement-learning-in-recommendations) - [Knowledge Distillation in Recommendations](#knowledge-distillation-in-recommendations) - [NAS in Recommendations](#nas-in-recommendations) - [Federated Learning in Recommendations](#federated-learning-in-recommendations) - [Analysis](#analysis) - [Other](#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 ### 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 ### 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 ### 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 ### 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 ### 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 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 ### 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 ### 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 ### 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 ### 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 ### 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 Technique --------- ### Pre-training in Recommender System - S\^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. CIKM 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 ### 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 ### 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 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