{"total":79,"rows":[{"id":"2108.06625","title":"Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer","created":"2021-08-14","cited_by_count":69,"area":null},{"id":"2104.13030","title":"A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation","created":"2021-04-27","cited_by_count":59,"area":null},{"id":"2108.06479","title":"Contrastive Self-supervised Sequential Recommendation with Robust Augmentation","created":"2021-08-14","cited_by_count":56,"area":null},{"id":"2105.08318","title":"Zero-Shot Recommender Systems","created":"2021-05-18","cited_by_count":46,"area":null},{"id":"2201.06035","title":"Sequential Recommendation via Stochastic Self-Attention","created":"2022-01-16","cited_by_count":37,"area":null},{"id":"2204.11046","title":"Decoupled Side Information Fusion for Sequential Recommendation","created":"2022-04-23","cited_by_count":30,"area":null},{"id":"2302.11087","title":"A Survey on User Behavior Modeling in Recommender Systems","created":"2023-02-22","cited_by_count":26,"area":null},{"id":"2107.03813","title":"Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation","created":"2021-07-08","cited_by_count":22,"area":null},{"id":"2311.09544","title":"Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta","created":"2023-11-16","cited_by_count":21,"area":null},{"id":"2206.02687","title":"Multi-Behavior Sequential Recommendation with Temporal Graph Transformer","created":"2022-06-06","cited_by_count":20,"area":null},{"id":"2110.03996","title":"Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation","created":"2021-10-08","cited_by_count":18,"area":null},{"id":"2206.11549","title":"Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling","created":"2022-06-23","cited_by_count":14,"area":null},{"id":"2106.00573","title":"One4all User Representation for Recommender Systems in E-commerce","created":"2021-05-24","cited_by_count":12,"area":null},{"id":"2511.22707","title":"CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation","created":"2025-11-27","cited_by_count":11,"area":null},{"id":"2202.13307","title":"The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation","created":"2022-02-27","cited_by_count":9,"area":null},{"id":"2203.15542","title":"Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search","created":"2022-03-29","cited_by_count":8,"area":null},{"id":"2106.14031","title":"Improving Sequential Recommendation Consistency with Self-Supervised Imitation","created":"2021-06-26","cited_by_count":7,"area":null},{"id":"2107.03564","title":"Unsupervised Proxy Selection for Session-based Recommender Systems","created":"2021-07-08","cited_by_count":7,"area":null},{"id":"2107.05235","title":"Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations","created":"2021-07-12","cited_by_count":7,"area":null},{"id":"2204.12750","title":"DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games","created":"2022-04-27","cited_by_count":6,"area":null},{"id":"2206.08088","title":"Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation","created":"2022-06-16","cited_by_count":6,"area":null},{"id":"2308.16781","title":"StratMed: Relevance Stratification between Biomedical Entities for Sparsity on Medication Recommendation","created":"2023-08-31","cited_by_count":6,"area":null},{"id":"2309.08420","title":"FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning","created":"2023-09-15","cited_by_count":6,"area":null},{"id":"2109.11790","title":"Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation","created":"2021-09-24","cited_by_count":5,"area":null},{"id":"2109.12314","title":"MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation","created":"2021-09-25","cited_by_count":5,"area":null},{"id":"2203.15508","title":"Improving Contrastive Learning with Model Augmentation","created":"2022-03-25","cited_by_count":5,"area":null},{"id":"2111.07378","title":"TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations","created":"2021-11-14","cited_by_count":4,"area":null},{"id":"2202.00805","title":"Context Uncertainty in Contextual Bandits with Applications to Recommender Systems","created":"2022-02-01","cited_by_count":4,"area":null},{"id":"2204.10851","title":"Exploiting Session Information in BERT-based Session-aware Sequential Recommendation","created":"2022-04-22","cited_by_count":4,"area":null},{"id":"2209.13015","title":"PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions","created":"2022-09-16","cited_by_count":4,"area":null},{"id":"2406.10244","title":"GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems","created":"2024-06-06","cited_by_count":4,"area":null},{"id":"2110.14747","title":"Dynamic Review-based Recommenders","created":"2021-10-27","cited_by_count":3,"area":null},{"id":"2204.02011","title":"ELECRec: Training Sequential Recommenders as Discriminators","created":"2022-04-05","cited_by_count":3,"area":null},{"id":"2210.13572","title":"Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer","created":"2022-10-24","cited_by_count":3,"area":null},{"id":"2301.03780","title":"Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation","created":"2023-01-10","cited_by_count":3,"area":null},{"id":"2301.06777","title":"Reusable Self-Attention Recommender Systems in Fashion Industry Applications","created":"2023-01-17","cited_by_count":3,"area":null},{"id":"2301.12197","title":"Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation","created":"2023-01-28","cited_by_count":3,"area":null},{"id":"2309.11515","title":"Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach","created":"2023-09-17","cited_by_count":3,"area":null},{"id":"2403.00880","title":"CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning","created":"2024-03-01","cited_by_count":3,"area":null},{"id":"2409.17436","title":"Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2107.12325","title":"From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users","created":"2021-07-26","cited_by_count":2,"area":null},{"id":"2207.06652","title":"Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model","created":"2022-07-14","cited_by_count":2,"area":null},{"id":"2210.12940","title":"Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems","created":"2022-10-24","cited_by_count":2,"area":null},{"id":"2211.16366","title":"Reusable Self-Attention-based Recommender System for Fashion","created":"2022-11-29","cited_by_count":2,"area":null},{"id":"2307.13165","title":"Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations","created":"2023-07-24","cited_by_count":2,"area":null},{"id":"2312.06145","title":"Proxy-based Item Representation for Attribute and Context-aware Recommendation","created":"2023-12-11","cited_by_count":2,"area":null},{"id":"2107.01529","title":"Learning Complex Users' Preferences for Recommender Systems","created":"2021-07-04","cited_by_count":1,"area":null},{"id":"2110.09083","title":"Learning to Learn a Cold-start Sequential Recommender","created":"2021-10-18","cited_by_count":1,"area":null},{"id":"2112.14370","title":"On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models","created":"2021-12-29","cited_by_count":1,"area":null},{"id":"2202.09502","title":"Graph Spring Network and Informative Anchor Selection for Session-based Recommendation","created":"2022-02-19","cited_by_count":1,"area":null},{"id":"2205.11680","title":"HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records","created":"2022-05-24","cited_by_count":1,"area":null},{"id":"2301.11316","title":"Open Problems in Applied Deep Learning","created":"2023-01-26","cited_by_count":1,"area":null},{"id":"2308.08799","title":"Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation","created":"2023-08-17","cited_by_count":1,"area":null},{"id":"2309.11623","title":"Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation","created":"2023-09-20","cited_by_count":1,"area":null},{"id":"2402.12733","title":"BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2412.13408","title":"Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation","created":"2024-12-18","cited_by_count":1,"area":null},{"id":"2506.19777","title":"Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2101.05641","title":"$C^3DRec$: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era","created":"2021-01-13","cited_by_count":0,"area":null},{"id":"2102.06950","title":"Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels","created":"2021-02-13","cited_by_count":0,"area":null},{"id":"2106.11218","title":"Data Optimisation for a Deep Learning Recommender System","created":"2021-06-21","cited_by_count":0,"area":null},{"id":"2108.09858","title":"Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender Systems","created":"2021-08-22","cited_by_count":0,"area":null},{"id":"2203.16155","title":"BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models","created":"2022-03-30","cited_by_count":0,"area":null},{"id":"2205.11343","title":"Heterogeneous Graph Neural Network for Personalized Session-Based Recommendation with User-Session Constraints","created":"2022-05-23","cited_by_count":0,"area":null},{"id":"2210.10547","title":"Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking","created":"2022-10-19","cited_by_count":0,"area":null},{"id":"2210.15451","title":"Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning","created":"2022-10-20","cited_by_count":0,"area":null},{"id":"2301.00987","title":"AI in HCI Design and User Experience","created":"2023-01-03","cited_by_count":0,"area":null},{"id":"2302.03221","title":"Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network","created":"2023-02-07","cited_by_count":0,"area":null},{"id":"2302.06681","title":"User-Centered Design (IX): A \"User Experience 3.0\" Paradigm Framework in the Intelligence Era","created":"2023-02-13","cited_by_count":0,"area":null},{"id":"2306.03040","title":"Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item","created":"2023-06-05","cited_by_count":0,"area":null},{"id":"2306.14314","title":"G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer","created":"2023-06-25","cited_by_count":0,"area":null},{"id":"2403.12096","title":"Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2410.18087","title":"CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2502.15331","title":"Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation","created":"2025-02-21","cited_by_count":0,"area":null},{"id":"2504.11658","title":"Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2506.05625","title":"Heterogeneous Sequel-Aware Graph Neural Networks for Sequential Learning","created":"2025-06-05","cited_by_count":0,"area":null},{"id":"2506.23170","title":"Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2507.13957","title":"DUALRec: A Hybrid Sequential and Language Model Framework for Context-Aware Movie Recommendation","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2602.03882","title":"PriorProbe: Recovering Individual-Level Priors for Personalizing Neural Networks in Facial Expression Recognition","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2606.19108","title":"JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling","created":"2026-06-17","cited_by_count":0,"area":null}],"next_cursor":null}