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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 201–225 of 554 papers

TitleStatusHype
Adaptive Long-term Embedding with Denoising and Augmentation for RecommendationCode0
CosRec: 2D Convolutional Neural Networks for Sequential RecommendationCode0
Prompt-based Multi-interest Learning Method for Sequential RecommendationCode0
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender SystemCode0
Prediction then Correction: An Abductive Prediction Correction Method for Sequential RecommendationCode0
Positional encoding is not the same as context: A study on positional encoding for sequential recommendationCode0
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRecCode0
Personalized Top-N Sequential Recommendation via Convolutional Sequence EmbeddingCode0
Preference Distillation for Personalized Generative RecommendationCode0
Contrastive Enhanced Slide Filter Mixer for Sequential RecommendationCode0
PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial ActionsCode0
A Hierarchical Contextual Attention-based GRU Network for Sequential RecommendationCode0
Multi-Grained Patch Training for Efficient LLM-based RecommendationCode0
Neighborhood-based Hard Negative Mining for Sequential RecommendationCode0
MV-RNN: A Multi-View Recurrent Neural Network for Sequential RecommendationCode0
One Person, One Model--Learning Compound Router for Sequential RecommendationCode0
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential RecommendationCode0
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential RecommendationCode0
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential RecommendationCode0
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential RecommendationCode0
Attacking Pre-trained RecommendationCode0
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential RecommendationCode0
Equivariant Contrastive Learning for Sequential RecommendationCode0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
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