Data to 7 Oct 2026

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

arXiv 1706.04148 ↗First posted 13 Jun 2017cs.LG cs.HC cs.IRcited by 84

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Abstract (arXiv)

Session-based recommendations are highly relevant in many modern on-line services (e.g. e-commerce, video streaming) and recommendation settings. Recently, Recurrent Neural Networks have been shown to perform very well in session-based settings. While in many session-based recommendation domains user identifiers are hard to come by, there are also domains in which user profiles are readily available. We propose a seamless way to personalize RNN models with cross-session information transfer and devise a Hierarchical RNN model that relays end evolves latent hidden states of the RNNs across user sessions. Results on two industry datasets show large improvements over the session-only RNNs.

Key facts. Cited by 84 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jun 2017.

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Citing papers per year: 2021: 22; 2022: 23; 2023: 22; 2024: 7; 2025: 7; 2026: 3.

84 papers.

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2023PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Promptscited by 218
2021Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformercited by 69
2021A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendationcited by 59
2021Contrastive Self-supervised Sequential Recommendation with Robust Augmentationcited by 56
2021Zero-Shot Recommender Systemscited by 45
2022Sequential Recommendation via Stochastic Self-Attentioncited by 37
2022Decoupled Side Information Fusion for Sequential Recommendationcited by 30
2023A Survey on User Behavior Modeling in Recommender Systemscited by 26
2021Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendationcited by 22
2022Multi-Behavior Sequential Recommendation with Temporal Graph Transformercited by 20
2023Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Metacited by 20
2021Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendationcited by 18

38 more

2022Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Samplingcited by 14
2021One4all User Representation for Recommender Systems in E-commercecited by 12
2025CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendationcited by 10
2022The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendationcited by 9
2022Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Searchcited by 8
2021Improving Sequential Recommendation Consistency with Self-Supervised Imitationcited by 7
2021Unsupervised Proxy Selection for Session-based Recommender Systemscited by 7
2021Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendationscited by 7
2023Sequential Recommendation with Diffusion Modelscited by 7
2022DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Gamescited by 6
2022Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendationcited by 6
2023StratMed: Relevance Stratification between Biomedical Entities for Sparsity on Medication Recommendationcited by 6
2023FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learningcited by 6
2021Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendationcited by 5
2021MC2-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendationcited by 5
2022Improving Contrastive Learning with Model Augmentationcited by 5
2021TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregationscited by 4
2022Context Uncertainty in Contextual Bandits with Applications to Recommender Systemscited by 4
2022Exploiting Session Information in BERT-based Session-aware Sequential Recommendationcited by 4
2022PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actionscited by 4
2024GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systemscited by 4
2021Dynamic Review-based Recommenderscited by 3
2022ELECRec: Training Sequential Recommenders as Discriminatorscited by 3
2022Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformercited by 3
2023Reusable Self-Attention Recommender Systems in Fashion Industry Applicationscited by 3
2023Mutual Wasserstein Discrepancy Minimization for Sequential Recommendationcited by 3
2023Counterfactual Collaborative Reasoningcited by 3
2023Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approachcited by 3
2024CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learningcited by 3
2024Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policiescited by 3
2021From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online userscited by 2
2022Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Modelcited by 2
2022Heterogeneous Information Crossing on Graphs for Session-based Recommender Systemscited by 2
2022Reusable Self-Attention-based Recommender System for Fashioncited by 2
2023Time-aware Hyperbolic Graph Attention Network for Session-based Recommendationcited by 2
2023Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbationscited by 2
2023RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendationcited by 2
2023Proxy-based Item Representation for Attribute and Context-aware Recommendationcited by 2

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