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Sequential Recommendation

Sequential recommendation is a sophisticated approach to providing personalized suggestions by analyzing users' historical interactions in a sequential manner. Unlike traditional recommendation systems, which consider items in isolation, sequential recommendation takes into account the temporal order of user actions. This method is particularly valuable in domains where the sequence of events matters, such as streaming services, e-commerce platforms, and social media.

Papers

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Showing 351–400 of 554 papers

TitleStatusHype
A Self-Correcting Sequential RecommenderCode1
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation—0
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start RecommendationCode0
Intelligent Model Update Strategy for Sequential Recommendation—0
On Modeling Long-Term User Engagement from Stochastic Feedback—0
Dual-interest Factorization-heads Attention for Sequential RecommendationCode0
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution NetworkCode0
Mutual Wasserstein Discrepancy Minimization for Sequential RecommendationCode1
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional TransformersCode1
Modeling Sequential Recommendation as Missing Information ImputationCode0
Improving Sequential Recommendation Models with an Enhanced Loss FunctionCode0
Local Policy Improvement for Recommender Systems—0
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential RecommendationCode1
Denoising Self-attentive Sequential Recommendation—0
Equivariant Contrastive Learning for Sequential RecommendationCode0
One Person, One Model--Learning Compound Router for Sequential RecommendationCode0
Self-Attentive Sequential Recommendation with Cheap Causal Convolutions—0
Disentangling Past-Future Modeling in Sequential Recommendation via Dual NetworksCode0
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational TransformerCode0
Towards Out-of-Distribution Sequential Event Prediction: A Causal TreatmentCode1
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems—0
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation—0
Mutual Harmony: Sequential Recommendation with Dual Contrastive NetworkCode0
PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial ActionsCode0
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation—0
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest SustainabilityCode1
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationCode1
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential RecommendationCode0
Explanation Guided Contrastive Learning for Sequential RecommendationCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
Multi-level Contrastive Learning Framework for Sequential Recommendation—0
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation—0
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed VideosCode1
Improving Micro-video Recommendation by Controlling Position Bias—0
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation—0
Time Lag Aware Sequential Recommendation—0
UFNRec: Utilizing False Negative Samples for Sequential RecommendationCode0
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
Sparse Attentive Memory Network for Click-through Rate Prediction with Long SequencesCode0
Generating Negative Samples for Sequential Recommendation—0
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation—0
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential RecommendationCode0
A Systematic Review and Replicability Study of BERT4Rec for Sequential RecommendationCode1
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential RecommendationCode1
Sequential Recommendation Model for Next Purchase PredictionCode1
Effective and Efficient Training for Sequential Recommendation using Recency SamplingCode1
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential RecommendationCode0
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential RecommendationCode1
Recommender Transformers with Behavior Pathways—0
ID-Agnostic User Behavior Pre-training for Sequential Recommendation—0
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