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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

Showing 5175 of 554 papers

TitleStatusHype
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential RecommendationCode1
A Systematic Review and Replicability Study of BERT4Rec for Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Attention Calibration for Transformer-based Sequential RecommendationCode1
Attention Mixtures for Time-Aware Sequential RecommendationCode1
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsCode1
Filter-enhanced MLP is All You Need for Sequential RecommendationCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential RecommendationCode1
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
Contrastive Learning for Sequential RecommendationCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Contrastive Cross-Domain Sequential RecommendationCode1
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest SustainabilityCode1
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