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Recommendation Systems

Category

Survey

  • FCS(2025)A Survey on Sequential Recommendation [PDF]
  • Information Systems(2024)A survey of sequential recommendation systems: Techniques, evaluation, and future directions [PDF]
  • TOIS(2020)Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations [PDF]
  • IJCAI(2019)Sequential Recommender Systems: Challenges, Progress and Prospects [PDF]
  • CSUR(2018)Sequence-Aware Recommender Systems [PDF]

Sequential Recommendation

  • TOIS(2025)Automated Disentangled Sequential Recommendation with Large Language Models [PDF]

  • TOIS(2025)Hierarchical Gating Network for Cross-Domain Sequential Recommendation [PDF]

  • TOIS(2025)Privacy-Preserving Sequential Recommendation with Collaborative Confusion [PDF]

  • SIGIR(2024)Large Language Models for Intent-Driven Session Recommendations [PDF]

  • SIGIR(2024)Sequential Recommendation with Latent Relations based on Large Language Model [PDF]

  • SIGIR(2024)Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models [PDF]

  • SIGIR(2024)Fair Sequential Recommendation without User Demographics [PDF]

  • SIGIR(2024)IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT [PDF] [Code]

  • SIGIR(2024)Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? [PDF] [Code]

  • SIGIR(2024)Modeling User Fatigue for Sequential Recommendation [PDF] [Code]

  • SIGIR(2024)Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization [PDF]

  • SIGIR(2024)Large Language Models for Next Point-of-Interest Recommendation [PDF]

  • SIGIR(2024)CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI Recommendation [PDF]

  • SIGIR(2024)Scaling Sequential Recommendation Models with Transformers [PDF]

  • SIGIR(2024)A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation [PDF] [Code]

  • SIGIR(2024)CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation [PDF]

  • SIGIR(2024)FineRec: Exploring Fine-grained Sequential Recommendation [PDF]

  • SIGIR(2024)SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation [PDF]

  • SIGIR(2024)EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention [PDF] [Code]

  • SIGIR(2024)LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation [PDF] [Code]

  • SIGIR(2024)Disentangling ID and Modality Effects for Session-based Recommendation [PDF]

  • SIGIR(2024)Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation [PDF] [Code]

  • SIGIR(2024)Multi-Domain Sequential Recommendation via Domain Space Learning [PDF]

  • WWW(2024)Intelligent Model Update Strategy for Sequential Recommendation [PDF]

  • WWW(2024)Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation [PDF]

  • WWW(2024)Causally Debiased Time-aware Recommendation [PDF] [Code]

  • WWW(2024)UnifiedSSR: A Unified Framework of Sequential Search and Recommendation [PDF] [Code]

  • WWW(2024)ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation [PDF]

  • WWW(2024)Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation [PDF] [Code]

  • WWW(2024)Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation [PDF]

  • WWW(2024)Can Small Language Models be Good Reasoners for Sequential Recommendation? [PDF]

  • KDD(2024)Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation [PDF] [Code]

  • KDD(2024)Disentangled Multi-interest Representation Learning for Sequential Recommendation [PDF]

  • KDD(2024)ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation [PDF] [Code]

  • KDD(2024)DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation [PDF]

  • KDD(2024)Probabilistic Attention for Sequential Recommendation [PDF]

  • KDD(2024)Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation [PDF] [Code]

  • KDD(2024)Dataset Regeneration for Sequential Recommendation [PDF] [Code]

  • ICDE(2024)Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation [PDF]

  • ICDE(2024)Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation [PDF] [Code]

  • ICDE(2024)SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation [PDF] [Code]

  • ICDE(2024)When Multi-behavior Meets Multi-interest: Multi-behavior Sequential Recommendation with Multi-interest Self-Supervised Learning [PDF] [Code]

  • CIKM(2024)PTSR: Prefix-Target Graph-based Sequential Recommendation [PDF] [Code]

  • CIKM(2024)PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation [PDF]

  • CIKM(2024)Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning [PDF] [Code]

  • CIKM(2024)Contrastive Learning on Medical Intents for Sequential Prescription Recommendation [PDF] [Code]

  • CIKM(2024)Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation [PDF] [Code]

  • CIKM(2024)Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation [PDF] [Code]

  • CIKM(2024)Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation [PDF]

  • CIKM(2024)UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations [PDF] [Code]

  • CIKM(2024)Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Sample Selection [PDF] [Code]

  • CIKM(2024)MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models [PDF]

  • CIKM(2024)Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models [PDF]

  • WSDM(2024)To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders [PDF]

  • WSDM(2024)Contextual MAB Oriented Embedding Denoising for Sequential Recommendation [PDF]

  • WSDM(2024)User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation [PDF]

  • WSDM(2024)Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation [PDF] [Code]

  • WSDM(2024)Mixed Attention Network for Cross-domain Sequential Recommendation [PDF] [Code]

  • WSDM(2024)Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation [PDF]

  • WSDM(2024)RecJPQ: Training Large-Catalogue Sequential Recommenders [PDF]

  • WSDM(2024)Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation [PDF]

  • WSDM(2024)On the Effectiveness of Unlearning in Session-Based Recommendation [PDF]

  • WSDM(2024)Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure [PDF] [Code]

  • WSDM(2024)Linear Recurrent Units for Sequential Recommendation [PDF]

  • WSDM(2024)Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation [PDF]

  • IJICA(2024)SeeDRec: Sememe-based Diffusion for Sequential Recommendation [PDF] [Code]

  • IJICA(2024)Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation [PDF]

  • IJICA(2024)Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation [PDF]

  • IJICA(2024)A Survey on Cross-Domain Sequential Recommendation [PDF]

  • IJICA(2024)gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling [PDF]

  • AAAI(2024)Temporal Graph Contrastive Learning for Sequential Recommendation [PDF]

  • AAAI(2024)Plug-In Diffusion Model for Sequential Recommendation [PDF] [Code]

  • AAAI(2024)Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation [PDF]

  • AAAI(2024)Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation [PDF]

  • AAAI(2024)Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations [PDF] [Code]

  • AAAI(2024)An Attentive Inductive Bias for Sequential Recommendation beyond the SelfAttention [PDF] [Code]

  • AAAI(2024)Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation [PDF] [Code]

  • ICML(2024)On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation [PDF]

  • RecSys(2024)The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation [PDF] [Code]

  • RecSys(2024)CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation [PDF]

  • RecSys(2024)Scaling Law of Large Sequential Recommendation Models [PDF]

  • RecSys(2024)Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation [PDF]

  • RecSys(2024)Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs [PDF]

  • RecSys(2024)Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation [PDF]

  • RecSys(2024)Repeated Padding for Sequential Recommendation [PDF] [Code]

  • RecSys(2024)TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks [PDF]

  • RecSys(2024)User Knowledge Prompt for Sequential Recommendation [PDF]

  • RecSys(2024)Enhancing Sequential Music Recommendation with Personalized Popularity Awareness [PDF] [Code]

  • TKDE(2024)Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation [PDF]

  • TKDE(2024)Learnable Model Augmentation Contrastive Learning for Sequential Recommendation [PDF]

  • TKDE(2024)Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation [PDF]

  • TKDE(2024)Personalized Prompt for Sequential Recommendation [PDF]

  • TKDE(2024)Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention [PDF]

  • TKDE(2024)Graph Diffusion-Based Representation Learning for Sequential Recommendation [PDF]

  • TKDE(2024)Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations [PDF]

  • TKDE(2024)A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation [PDF]

  • TKDE(2024)Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation [PDF]

  • TKDE(2024)Exploiting Group-Level Behavior Pattern for Session-Based Recommendation [PDF]

  • TKDE(2024)AutoSR: Automatic Sequential Recommendation System Design [PDF]

  • TOIS(2024)Soft Contrastive Sequential Recommendation [PDF]

  • TOIS(2024)Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation [PDF]

  • TOIS(2024)Diversifying Sequential Recommendation with Retrospective and Prospective Transformers [PDF]

  • TOIS(2024)TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation [PDF]

  • TOIS(2024)FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services [PDF]

  • TOIS(2024)Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation [PDF]

  • TOIS(2024)Collaborative Sequential Recommendations via Multi-view GNN-transformers [PDF]

  • TOIS(2024)Learning Robust Sequential Recommenders through Confident Soft Labels [PDF]

  • TOIS(2024)SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations [PDF]

  • TORS(2024)Multimodal Pre-training for Sequential Recommendation via Contrastive Learning [PDF]

  • SIGIR(2023)Poisoning Self-supervised Learning Based Sequential Recommendations [PDF] [Code]

  • SIGIR(2023)Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation**[PDF]**

  • SIGIR(2023)MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation [PDF] [Code]

  • SIGIR(2023)Distributionally Robust Sequential Recommendation [PDF] [Code]

  • SIGIR(2023)Linear Attention Mechanism for Long-term Sequential Recommender Systems [PDF] [Code]

  • SIGIR(2023)Graph Masked Autoencoder for Sequential Recommendation [PDF] [Code]

  • SIGIR(2023)Meta-optimized Contrastive Learning for Sequential Recommendation [PDF] [Code]

  • SIGIR(2023)Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation [PDF]

  • SIGIR(2023)Frequency Enhanced Hybrid Attention Network for Sequential Recommendation [PDF] [Code]

  • SIGIR(2023)A Generic Learning Framework for Sequential Recommendation with Distribution Shifts [PDF] [Code]

  • SIGIR(2023)Multi-View Multi-Aspect Neural Networks for Next-Basket Recommendation [PDF] [Code]

  • SIGIR(2023)Next Basket Recommendation with Intent-aware Hypergraph Adversarial Network [PDF]

  • KDD(2023)Text Is All You Need: Learning Language Representations for Sequential Recommendation [PDF]

  • KDD(2023)Adaptive Disentangled Transformer for Sequential Recommendation [PDF] [Code]

  • KDD(2023)Contrastive Learning for User Sequence Representation in Personalized Product Search [PDF]

  • WWW(2023)Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation [PDF]

  • WWW(2023)Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation [PDF]

  • WWW(2023)Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation [PDF]

  • WWW(2023)Dual-interest Factorization-heads Attention for Sequential Recommendation [PDF] [Code]

  • WWW(2023)A Counterfactual Collaborative Session-based Recommender System [PDF] [Code]

  • WWW(2023)Debiased Contrastive Learning for Sequential Recommendation [PDF] [Code]

  • WWW(2023)MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations [PDF] [Code]

  • WWW(2023)AutoMLP: Automated MLP for Sequential Recommendations [PDF]

  • WWW(2023)Modeling Temporal Positive and Negative Excitation for Sequential Recommendation [PDF] [Code]

  • WWW(2023)A Self-Correcting Sequential Recommender [PDF] [Code]

  • WWW(2023)Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation [PDF] [Code]

  • ICDE(2023)Sequential Recommendation with User Causal Behavior Discovery [PDF]

  • ICDE(2023)Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation [PDF] [Code]

  • CIKM(2023)AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation [PDF] [Code]

  • CIKM(2023)AutoSeqRec: Autoencoder for Efficient Sequential Recommendation [PDF] [Code]

  • CIKM(2023)Text Matching Improves Sequential Recommendation by Reducing Popularity Biases [PDF] [Code]

  • CIKM(2023)Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems [PDF] [Code]

  • WSDM(2023)IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation [PDF]

  • WSDM(2023)Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation [PDF]

  • WSDM(2023)DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation [PDF] [Code]

  • WSDM(2023)Exploiting Explicit and Implicit Item relationships for Session-based Recommendation [PDF] [Code]

  • IJICA(2023)Sequential Recommendation with Probabilistic Logical Reasoning [PDF] [Code]

  • AAAI(2023)Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation [PDF] [Code]

  • ICLR(2023)RESACT: Reinforcing Long-Term Engagement In Sequential Recommendation With Rscidual Actor [PDF]

  • TNNLS(2023)SMONAC: Supervised Multiobjective Negative Actor–Critic for Sequential Recommendation [PDF]

  • TNNLS(2023)G3SR: Global Graph Guided Session-Based Recommendation [PDF]

  • TNNLS(2023)GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation

  • TNNLS(2023)Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins [PDF] [Code]

  • TKDE(2023)Graph-Based Embedding Smoothing for Sequential Recommendation [PDF] [Code]

  • TKDE(2023)Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation [PDF]

  • TKDE(2023)CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network [PDF]

  • TKDE(2023)M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation [PDF] [Code]

  • TKDE(2023)Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations [PDF]

  • TKDE(2023)Dynamic Graph Neural Networks for Sequential Recommendation [PDF]

  • TKDE(2023)LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations [PDF]

  • TKDE(2023)Multi-Behavior Sequential Recommendation With Temporal Graph Transformer [PDF] [Code]

  • TKDE(2023)Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation [PDF]

  • TKDE(2023)Disentangled Graph Neural Networks for Session-Based Recommendation [PDF] [Code]

  • TKDE(2023)Multi Global Information Assisted Streaming Session-Based Recommendation System [PDF]

  • TKDE(2023)Data Augmented Sequential Recommendation Based on Counterfactual Thinking [PDF]

  • TKDE(2023)Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation [PDF]

  • TKDE(2023)Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation [PDF]

  • TOIS(2023)Learning Dual-view User Representations for Enhanced Sequential Recommendation [PDF]

  • TOIS(2023)Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations [PDF] [Code]

  • TOIS(2023)Sequential Recommendation with Multiple Contrast Signals [PDF] [Code]

  • SIGIR(2022)Decoupled Side Information Fusion for Sequential Recommendation [PDF] [Code]

  • SIGIR(2022)On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation**[PDF]** [Code]

  • SIGIR(2022)Multi-Agent RL-based Information Selection Model for Sequential Recommendation [PDF]

  • SIGIR(2022)An Attribute-Driven Mirroring Graph Network for Session-based Recommendation [PDF] [Code]

  • SIGIR(2022)When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation [PDF] [Code]

  • SIGIR(2022)Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation [PDF] [Code]

  • SIGIR(2022)AutoGSR: Neural Architecture Search for Graph-based Session Recommendation [PDF]

  • SIGIR(2022)Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation [PDF] [Code]

  • SIGIR(2022)Multi-Faceted Global Item Relation Learning for Session-Based Recommendation [PDF] [Code]

  • SIGIR(2022)ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping [PDF] [Code]

  • SIGIR(2022)Determinantal Point Process Set Likelihood-Based Loss Functions for Sequential Recommendation [PDF]

  • SIGIR(2022)Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation [PDF] [Code]

  • SIGIR(2022)Coarse-to-Fine Sparse Sequential Recommendation [PDF]

  • SIGIR(2022)Dual Contrastive Network for Sequential Recommendation [PDF]

  • SIGIR(2022)Explainable Session-based Recommendation with Meta-Path Guided Instances and Self-Attention Mechanism [PDF]

  • SIGIR(2022)Item-Provider Co-learning for Sequential Recommendation [PDF] [Code]

  • SIGIR(2022)RESETBERT4Rec: A Pre-training Model Integrating Time And User Historical Behavior for Sequential Recommendation [PDF]

  • SIGIR(2022)Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation [PDF]

  • SIGIR(2022)CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space [PDF] [Code]

  • SIGIR(2022)DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation [PDF]

  • SIGIR(2022)Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation [PDF]

  • SIGIR(2022)ELECRec: Training Sequential Recommenders as Discriminators [PDF] [Code]

  • SIGIR(2022)Exploiting Session Information in BERT-based Session-aware Sequential Recommendation [PDF] [Code]

  • KDD(2022)Towards Universal Sequence Representation Learning for Recommender Systems [PDF] [Code]

  • KDD(2022)Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation [PDF] [Code]

  • KDD(2022)Debiasing Learning for Membership Inference Attacks Against Recommender Systems [PDF] [Code]

  • KDD(2022)Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers [PDF] [Code]

  • WWW(2022)Disentangling Long and Short-Term Interests for Recommendation [PDF] [Code]

  • WWW(2022)Filter-enhanced MLP is All You Need for Sequential Recommendation [PDF] [Code]

  • WWW(2022)Intent Contrastive Learning for Sequential Recommendation [PDF] [Code]

  • WWW(2022)Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data [PDF]

  • WWW(2022)Sequential Recommendation via Stochastic Self-Attention [PDF] [Code]

  • WWW(2022)Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation [PDF] [Code]

  • ICDE(2022)Contrastive Learning for Sequential Recommendation [PDF] [Code]

  • CIKM(2022)Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability [PDF] [Code]

  • CIKM(2022)Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation [PDF]

  • CIKM(2022)Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks [PDF]

  • CIKM(2022)Dual-Task Learning for Multi-Behavior Sequential Recommendation [PDF]

  • CIKM(2022)Dually Enhanced Propensity Score Estimation in Sequential Recommendation [PDF]

  • CIKM(2022)Temporal Contrastive Pre-Training for Sequential Recommendation [PDF]

  • CIKM(2022)MAE4Rec: Storage-saving Transformer for Sequential Recommendations [PDF]

  • CIKM(2022)Time Lag Aware Sequential Recommendation [PDF]

  • CIKM(2022)Hierarchical Item Inconsistency Signal learning for Sequence Denoising in Sequential Recommendation [PDF] [Code]

  • CIKM(2022)A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation [PDF]

  • WSDM(2022)Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation [PDF]

  • WSDM(2022)Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce [PDF] [Code]

  • TNNLS(2022)Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation [PDF]

  • TNNLS(2022)Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings [PDF]

  • TKDE(2022)Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation [PDF]

  • TKDE(2022)Personalized Long- and Short-term Preference Learning for Next POI Recommendation [PDF]

  • TKDE(2022)Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation [PDF]

  • TKDE(2022)Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation [PDF] [Code]

  • TKDE(2022)HAM: Hybrid Associations Models for Sequential Recommendation [PDF]

  • TKDE(2022)Intention-Aware Sequential Recommendation With Structured Intent Transition [PDF] [Code]

  • TKDE(2022)Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation [PDF]

  • TOIS(2022)Graph Co-Attentive Session-based Recommendation [PDF]

  • TOIS(2022)Collaborative Graph Learning for Session-based Recommendation [PDF]

  • TOIS(2022)Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach [PDF]

  • TOIS(2022)Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation [PDF]

  • TOIS(2022)Learning to Learn a Cold-start Sequential Recommender [PDF]

  • TOIS(2022)Exploiting Positional Information for Session-Based Recommendation [PDF]

  • TOIS(2022)Learning a Hierarchical Intent Model for Next-Item Recommendation [PDF]

  • TOIS(2022)CHA: Categorical Hierarchy-based Attention for Next POI Recommendation [PDF]

  • TOIS(2022)Multi-interest Diversification for End-to-end Sequential Recommendation [PDF]

  • SIGIR(2021)Category-aware Collaborative Sequential Recommendation [PDF] [Code]

  • SIGIR(2021)Sequential Recommendation with Graph Convolutional Networks [PDF] [Code]

  • SIGIR(2021)StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking [PDF] [Code]

  • SIGIR(2021)Counterfactual Data-Augmented Sequential Recommendation [PDF]

  • SIGIR(2021)CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation [PDF]

  • SIGIR(2021)Dual Attention Transfer in Session-based Recommendation with Multi Dimensional Integration [PDF]

  • SIGIR(2021)Unsupervised Proxy Selection for Session-based Recommender Systems [PDF]

  • SIGIR(2021)The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation [PDF]

  • KDD(2021)SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations [PDF]

  • WWW(2021)Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation [PDF] [Code]

  • WWW(2021)DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce [PDF] [Code]

  • WWW(2021)Future-Aware Diverse Trends Framework for Recommendation [PDF]

  • WWW(2021)RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation [PDF]

  • WWW(2021)Session-aware Linear Item-Item Models for Session-based Recommendation [PDF] [Code]

  • ICDE(2021)Sequential Recommendation on Dynamic Heterogeneous Information Network [PDF]

  • CIKM(2021)Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders [PDF]

  • CIKM(2021)Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation [PDF]

  • CIKM(2021)Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer [PDF] [Code]

  • CIKM(2021)Extracting Attentive Social Temporal Excitation for Sequential Recommendation [PDF]

  • CIKM(2021)Hyperbolic Hypergraphs for Sequential Recommendation [PDF] [Code]

  • CIKM(2021)Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation [PDF] [Code]

  • CIKM(2021)Lightweight Self-Attentive Sequential Recommendation [PDF]

  • CIKM(2021)What is Next when Sequential Prediction Meets Implicitly Hard Interaction? [PDF] [Code]

  • CIKM(2021)Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation [PDF] [Code]

  • CIKM(2021)Locker: Locally Constrained Self-Attentive Sequential Recommendation [PDF] [Code]

  • CIKM(2021)CBML: A Cluster-based Meta-learning Model for Session-based Recommendation [PDF]

  • CIKM(2021)Self-Supervised Graph Co-Training for Session-based Recommendation [PDF] [Code]

  • WSDM(2021)Sparse-Interest Network for Sequential Recommendation [PDF]

  • WSDM(2021)An Efficient and Effective Framework for Session-based Social Recommendation [PDF] [Code]

  • TOIS(2021)Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation [PDF]

  • TOIS(2021)Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback [PDF]

  • TOIS(2021)Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation [PDF]

  • TOIS(2021)Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations [PDF]

  • SIGIR(2020)Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation [PDF] [Code]

  • SIGIR(2020)GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation [PDF]

  • SIGIR(2020)Sequential Recommendation with Self-attentive Multi-adversarial Network [PDF]

  • SIGIR(2020)A General Network Compression Framework for Sequential Recommender Systems [PDF] [Code]

  • SIGIR(2020)Next-item Recommendation with Sequential Hypergraphs [PDF]

  • SIGIR(2020)KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation [PDF]

  • SIGIR(2020)Time Matters: Sequential Recommendation with Complex Temporal Information [PDF]

  • SIGIR(2020)Modeling Personalized Item Frequency Information for Next-basket Recommendation [PDF] [Code]

  • KDD(2020)Disentangled Self-Supervision in Sequential Recommenders [PDF]

  • KDD(2020)Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions [PDF] [Code]

  • KDD(2020)Geography-Aware Sequential Location Recommendation [PDF] [Code]

  • KDD(2020)Handling Information Loss of Graph Neural Networks for Session-based Recommendation [PDF] [Code]

  • KDD(2020)On Sampling Top-K Recommendation Evaluation [PDF] [Code]

  • KDD(2020)Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation [PDF] [Code]

  • WWW(2020)Adaptive Hierarchical Translation-based Sequential Recommendation [PDF]

  • WWW(2020)Attentive Sequential Model of Latent Intent for Next Item Recommendation [PDF]

  • WWW(2020)Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation [PDF]

  • WWW(2020)Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation [PDF]

  • WWW(2020)Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation [PDF]

  • WWW(2020)Keywords Generation Improves E-Commerce Session-based Recommendation [PDF] [Code]

  • WWW(2020)Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices [PDF]

  • ICDE(2020)Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences [PDF]

  • CIKM(2020)Hybrid Sequential Recommender via Time-aware Attentive Memory Network [PDF] [Code]

  • CIKM(2020)Improving End-to-End Sequential Recommendations with Intent-aware Diversification [PDF]

  • CIKM(2020)Quaternion-based self-Attentive Long Short-term User Preference Encoding for Recommendation [PDF]

  • CIKM(2020)Star Graph Neural Networks for Session-based Recommendation [PDF]

  • CIKM(2020)S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization [PDF] [Code]

  • CIKM(2020)DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation [PDF] [Code]

  • WSDM(2020)Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation [PDF]

  • WSDM(2020)Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling [PDF] [Code]

  • WSDM(2020)Time Interval Aware Self-Attention for Sequential Recommendation [PDF]

  • WSDM(2020)Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce [PDF]

  • TKDE(2020)MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation [PDF] [Code]

  • TKDE(2020)Translation-Based Sequential Recommendation for Complex Users on Sparse Data [PDF]

  • TOIS(2020)Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks [PDF]

  • TOIS(2020)Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity [PDF]

  • SIGIR(2019)A Collaborative Session-based Recommendation Approach with Parallel Memory Modules [PDF] [Code]

  • SIGIR(2019)Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation [PDF]

  • SIGIR(2019)Sequence and Time Aware Neighborhood for Session-based Recommendations [PDF] [Code]

  • KDD(2019)Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination [PDF] [Code]

  • KDD(2019)Hierarchical Gating Networks for Sequential Recommendation [PDF] [Code]

  • KDD(2019)Streaming Session-based Recommendation [PDF]

  • KDD(2019)Sequential Scenario-Specific Meta Learner for Online Recommendation [PDF] [Code]

  • WWW(2019)TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors [PDF]

  • WWW(2019)Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks [PDF]

  • WWW(2019)Hierarchical Neural Variational Model for Personalized Sequential Recommendation [PDF]

  • WWW(2019)Recurrent Convolutional Neural Network for Sequential Recommendation [PDF]

  • WWW(2019)Variational Session-based Recommendation Using Normalizing Flows [PDF]

  • WWW(2019)R2SIGTP: a Novel Real-Time Recommendation System with Integration of Geography and Temporal Preference for Next Point-of-Interest [PDF]

  • TOIS(2019)Next and Next New POI Recommendation via Latent Behavior Pattern Inference [PDF]

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