SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 554 papers

TitleStatusHype
Leveraging Large Language Models for Sequential RecommendationCode1
Linear Recurrent Units for Sequential RecommendationCode1
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerCode1
Contrastive Cross-Domain Sequential RecommendationCode1
Dynamic Memory based Attention Network 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
EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationCode1
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
DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
Effective and Efficient Training for Sequential Recommendation using Recency SamplingCode1
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
Diffusion Augmentation for Sequential RecommendationCode1
Modeling Sequences as Distributions with Uncertainty for Sequential RecommendationCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Show:102550
← PrevPage 5 of 23Next →

No leaderboard results yet.