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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 151–175 of 554 papers

TitleStatusHype
Intent Contrastive Learning for Sequential RecommendationCode1
Sequential Recommendation via Stochastic Self-AttentionCode1
CT4Rec: Simple yet Effective Consistency Training for Sequential RecommendationCode1
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain RecommendationCode1
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender SystemCode1
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-CommerceCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential RecommendationCode1
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential RecommendationCode1
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
Contrastive Self-supervised Sequential Recommendation with Robust AugmentationCode1
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerCode1
Sequential Recommendation for Cold-start Users with Meta Transitional LearningCode1
Position-enhanced and Time-aware Graph Convolutional Network for Sequential RecommendationsCode1
Sequential Recommendation with Graph Neural NetworksCode1
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-SharingCode1
Modeling Sequences as Distributions with Uncertainty for Sequential RecommendationCode1
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Linear-Time Self Attention with Codeword Histogram for Efficient RecommendationCode1
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Adversarial and Contrastive Variational Autoencoder for Sequential RecommendationCode1
Sparse-Interest Network for Sequential RecommendationCode1
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