Awesome-Recommender-System

This repo will be kept updated in each week to catch up with the direction of recommender system. There is no doubt to star this repo to watch which papers are updated each week, which helps you reduce your time wasting on searching for papers of high quality in a few top conferences and journals.

POI Recommender System:

• (IJCAI2017)Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking
• (IJCAI2017) Learning user's intrinsic and extrinsic interests for point-of-interest recommendation: a unified approach
• (UbiComp2019)Privacy-preserving Cross-domain Location Recommendation
• (UbiComp 2019)From Fingerprint to Footprint: Cold-start Location Recommendation by Learning User Interest from App Data
• (IJCAI2019)Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism
• (WWW2019)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach
• (ICDE2019)A Joint Context-Aware Embedding for Trip Recommendations
• (SIGIR2020)HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation
• (SIGIR2020)Spatial Object Recommendation with Hints: When Spatial Granularity Matters
• (KDD2020)Geography-Aware Sequential Location Recommendation
• (CIKM2020)Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
• (CIKM2020)STP-UDGAT Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
• (WWW2021)STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation
• (WWW2021)Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching

Sequential Recommender System:

• (WSDM2017)Recurrent Recommender Networks
• (IJCAI2018)Sequential Recommender System based on Hierarchical Attention Network
• (ICDM2018)Self-Attentive Sequential Recommendation
• (SIGIR2019)A Long-Short Demands-Aware Model for Next-Item Recommendation
• (SIGIR2019)Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
• (CIKM2019)Session-Based Social Recommendation via Dynamic Graph Attention Networks
• (WSDM2019)Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation
• (WSDM2019)Session-based Social Recommendation via Dynamic Graph Attention Networks
• (WWW2019)Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
• (KDD2019)Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination
• (KDD2019)Hierarchical Gating Networks for Sequential Recommendation
• (KDD2019)POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
• (PAKDD2019)A Novel Hybrid Sequential Model for Review-Based Rating Prediction
• (MM2019)Explainable Interaction-driven User Modeling over Knowl-edge Graph for Sequential Recommendation
• (IS2019)GPS: Factorized group preference-based similarity models for sparse sequential recommendation
• (CIKM2019)CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
• (IJCAI2019)Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation
• (IJCAI2019)Feature-level Deeper Self-Attention Network for Sequential Recommendation
• (MM2019)Content-based video relevance prediction with multi-view multi-level deep interest network
• (WWW2020)Beyond Clicks: Modeling Multi-Relational Item Graph for Session-based Target Behavior Prediction
• (WWW2020)Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
• (WWW2020) Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation
• (WWW2020)Attentive Sequential Models of Latent Intent for Next Item Recommendation
• (WSDM2020)Time Interval Aware Self-Attention for Sequential Recommendation
• (WSDM2020)Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
• (IJCAI2020)Deep Feedback Network for Recommendation
• (SIGIR2020)Sequential Recommendation with Self-attentive Multi-adversarial Network
• (SIGIR2020)KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
• (SIGIR2020)Modeling Personalized Item Frequency Information for Next-basket Recommendation
• (SIGIR2020)Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
• (SIGIR2020)GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
• (SIGIR2020)Next-item Recommendation with Sequential Hypergraphs
• (SIGIR2020)A General Network Compression Framework for Sequential Recommender Systems
• (SIGIR2020)Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation
• (SIGIR2020)Global Context Enhanced Graph Neural Networks for Session-based Recommendation
• (SIGIR2020)Self-Supervised Reinforcement Learning for Recommender Systems
• (SIGIR2020)Time Matters: Sequential Recommendation with Complex Temporal Information
• (KDD2020)Controllable Multi-Interest Framework for Recommendation
• (KDD2020)Disentangled Self-Supervision in Sequential Recommenders
• (KDD2020)Handling Information Loss of Graph Neural Networks for Session-based Recommendation
• (CIKM2020)Improving End-to-End Sequential Recommendations with Intent-aware Diversification
• (CIKM2020)Quaternion-based self-Attentive Long Short-term User Preference Encoding for Recommendation
• (CIKM2020)Sequential Recommender via Time-aware Attentive Memory Network
• (CIKM2020)Star Graph Neural Networks for Session-based Recommendation
• (AAAI2021)Dynamic Memory Based Attention Network for Sequential Recommendation
• (AAAI2021)Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation
• (AAAI2021)Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
• (WSDM2021)An Efficient and Effective Framework for Session-based Social Recommendation
• (WSDM2021)Sparse-Interest Network for Sequential Recommendation
• (WWW2021)Dynamic Embeddings for Interaction Prediction
• (WWW2021)Session-aware Linear Item-Item Models for Session-based Recommendation
• (WWW2021)RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
• (WWW2021)Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
• (WWW2021)Future-Aware Diverse Trends Framework for Recommendation
• (WWW2021)DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
• (WWW2021)Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
• (CIKM2021)Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
• (TOIS2021)Learning from substitutable and complementary relations for graph-based sequential product recommendation
• (arxiv) MC^2-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation
• (arxiv) Pattern-wise Transparent Sequential Recommendation

Graph-based Recommender System:

• Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information
• (KDD2018)Graph Convolutional Matrix Completion
• (MM2019)MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
• (TKDE2019)Heterogeneous Information Network Embedding for Recommendation
• (SIGIR2019)SocialGCN An Efficient Graph Convolutional Network
• (SIGIR2019)Neural Graph Collaborative Filtering
• (WSDM2019)Session-based Social Recommendation via Dynamic Graph Attention Networks
• (AAAI2019)Explainable Reasoning over Knowledge Graphs for Recommendation
• (WWW2019)Graph Neural Networks for Social Recommendation
• (WWW2019)Collaborative Similarity Embedding for Recommender Systems
• (WWW2019)Unifying Knowledge Graph Learning and Recommendation Towards a Better Understanding of User Preferences
• (KDD2019)KGAT Knowledge Graph Attention Network for Recommendation
• (IJCAI2019)Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation
• (TKDE2019)Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
• (CIKM2019)Rethinking the ItemOrder in Session-based Recommendation with Graph Neural Networks
• (SDM2020)Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering
• (IPM2020)Graph neural news recommendation with long-term and short-term interest modeling
• (AAAI2020)Revisiting Graph based Collaborative Filtering : A Linear Residual Graph Convolutional Network Approach
• (AAAI2020)Memory Augmented Graph Neural Networks for Sequential Recommendation
• (AAAI2020)Multi-Component Graph Convolutional Collaborative Filtering
• (WWW2020)Beyond Clicks: Modeling Multi-Relational Item Graph for Session-based Target Behavior Prediction
• (WWW2020)Graph Enhanced Representation Learning for News Recommendation
• (WSDM2020)DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
• Modelling High-Order Social Relations for Item Recommendation
• (KDD2020)M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
• (SIGIR2020)LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
• (SIGIR2020)Neighbor Interaction Aware Graph Convolution Networks for Recommendation
• (KDD2020)A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks
• (KDD2020)Dual Channel Hypergraph Collaborative Filtering
• (WWW2021)HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
• (WWW2021)Interest-aware Message-Passing GCN for Recommendation
• (WSDM2022)A Practical Two-stage Ranking Framework for Cross-market Recommendation

Review-based/News/Text-aware Recommender System:

• (WSDM2017)Joint Deep Modeling of Users and Items Using Reviews for Recommendation
• (CIKM2018)ANR:Aspect-based Neural Recommender
• (KDD2018)Multi-Pointer Co-Attention Networks for Recommendation
• (RecSys2018)Why I like it Multi-task Learning for Recommendation and Explanation
• (WWW2018)Neural attentional rating regression with review-level explanations
• (NAACL-HIT2019)Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
• (RecSys2019)A Generative Model for Review-Based Recommendations
• (UMAP2019)Justifying Recommendations through Aspect-based Sentiment Analysis of Users’ Reviews
• (WWW2019)From Free-text User Reviews to Product Recommendation using Paragraph Vectors and Matrix Factorization
• (SIGIR2019)NRPA: Neural Recommendation with Personalized Attention
• (KDD2019)DAML Dual Attention Mutual Learning between Ratings and Reviews for recommendation
• (KDD2019)NPA: Neural News Recommendation with Personalized Attention
• (IJCAI2019)A Review-Driven Neural Model for Sequential Recommendation
• (IJCAI2019)Neural News Recommendation with Attentive Multi-View Learning
• (IJCAI2019)Co-Attentive Multi-Task Learning for Explainable Recommendation
• (RecSys2020)KRED:Knowledge-Aware Document Representation for News Recommendations
• (RecSys2020)TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations
• (CIKM2020)News Recommendation with Topic-Enriched Knowledge Graphs
• (CIKM2020)Set-Sequence-Graph A Multi-View Approach Towards Exploiting Reviews for Recommendation
• (CIKM2020)TPR: Text-aware Preference Ranking for Recommender Systems
• (WWW2021)The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms
• (WWW2021)Leveraging Review Properties for Effective Recommendation

Deep Learning based Recommender System:

• (TOIS2017)Version-Aware Rating Prediction for Mobile App Recommendation
• (KDD2018)Multi-Pointer Co-Attention Networks for Recommendation
• Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
• (IJCAI2018)DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
• (SIGIR2018)An Attribute-aware Neural Attentive Model for Next Basket Recommendation
• (CIKM2018)Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network
• (KDD2018)Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model
• (TOIS2019)Deep Item-based Collaborative Filtering for Top-N Recommendation
• (WSDM2019)Gated Attentive-Autoencoder for Content-Aware Recommendation
• (WWW2019)Towards Neural Mixture Recommender for Long Range Dependent User Sequences
• (WWW2019)Feature generation by convolutional neural network for click-through rate prediction
• (SDM2019)Multiplex Memory Network for Collaborative Filtering
• (IJCAI2019)Deep Adversarial Social Recommendation
• (TKDE2020)A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
• (WSDM2020)LARA Attribute-to-feature Adversarial Learning for New-item Recommendation
• (WSDM2020)Adversarial Learning to Compare Self-Attentive Prospective Customer Recommendation in Location based Social Networks
• (AAAI2020)Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
• (WWW2020)Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation

Evaluation of Recommender System

• (RecSys2018)Explore, exploit, and explain personalizing explainable recommendations with bandits
• (RecSys2018)Providing explanations for recommendations in reciprocal environments
• (RecSys2018)Why I like it multi-task learning for recommendation and explanation
• (RecSys2018)Enhancing structural diversity in social network by Recommending Weak Ties
• (CHI2018)Flexible Learning with Semantic Visual Exploration and Sequence-Based Recommendation of MOOC Videos
• (IUI2019)Personalized Explanations for Hybrid Recommender Systems
• (RecSys2019)Explaining and Exploring Job Recommendations: a User-driven Approach for Interacting with Knowledge-based Job Recommender Systems
• (CHI2019)VizML A Machine Learning Approach to visualization recommendation
• (RecSys2019)Efficient Privacy Preserving Recommendations based on Social Graphs
• (UMAP2019)Justifying Recommendations through Aspect-based Sentiment Analysis of Users’ Reviews
• (UMUAI2019)Affective recommender systems in online news industry, how emotions influence reading chocies

CTR Prediction

• Deep & Cross Network for Ad Click Predictions
• Deep interest network for click-through rate prediction
• Deep Session Interest Network for Click-Through Rate Prediction
• Practical Lessons from Predicting Clicks on Ads at Facebook
• Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
• Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
• Real-time Personalization using Embeddings for Search Ranking at Airbnb
• FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
• HoAFM: A High-order Attentive Factorization Machine for CTR Prediction
• (WWW2019)Feature generation by convolutional neural network for click-through rate prediction
• (MM2019)Time-aware Session Embedding for Click-Through-Rate Prediction
• (DLP-KDD2019)Res-embedding for Deep Learning Based Click-rough Rate Prediction Modeling
• (AAAI2020)Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution
• (AAAI2021)Detecting Beneficial Feature Interactions for Recommender Systems
• (WSDM2021)DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
• (WSDM2021)Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
• (WWW2021)FM^2: Field-matrixed Factorization Machines for CTR Prediction

Review

• Graph Learning Approaches to Recommender Systems: A Review