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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 126150 of 554 papers

TitleStatusHype
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
Explanation Guided Contrastive Learning for Sequential RecommendationCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed VideosCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
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
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential RecommendationCode1
Multi-Behavior Sequential Recommendation with Temporal Graph TransformerCode1
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual ActorCode1
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential RecommendationCode1
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential RecommendationCode1
Selective Fairness in Recommendation via PromptsCode1
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential RecommendationCode1
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
Decoupled Side Information Fusion for Sequential RecommendationCode1
Exploiting Session Information in BERT-based Session-aware Sequential RecommendationCode1
ELECRec: Training Sequential Recommenders as DiscriminatorsCode1
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-AttentionCode1
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential RecommendationCode1
Improving Contrastive Learning with Model AugmentationCode1
Filter-enhanced MLP is All You Need for Sequential RecommendationCode1
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