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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 101–125 of 554 papers

TitleStatusHype
Explanation Guided Contrastive Learning for Sequential RecommendationCode1
Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation ModelsCode1
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerCode1
Contrastive Cross-Domain Sequential RecommendationCode1
A Systematic Review and Replicability Study of BERT4Rec for Sequential RecommendationCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
Contrastive Learning for Sequential RecommendationCode1
Debiased Contrastive Learning for Sequential RecommendationCode1
Contrastive Self-supervised Sequential Recommendation with Robust AugmentationCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
Controllable Multi-Interest Framework for RecommendationCode1
Attention Mixtures for Time-Aware Sequential RecommendationCode1
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
Generate What You Prefer: Reshaping Sequential Recommendation via Guided DiffusionCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
Meta-optimized Contrastive Learning for Sequential RecommendationCode1
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsCode1
Frequency Enhanced Hybrid Attention Network for Sequential RecommendationCode1
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative SamplingCode1
Modeling User Fatigue for Sequential RecommendationCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Harnessing Multimodal Large Language Models for Multimodal Sequential RecommendationCode1
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