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 226–250 of 554 papers

TitleStatusHype
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential RecommendationCode0
Equivariant Contrastive Learning for Sequential RecommendationCode0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential RecommendationCode0
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive LearningCode0
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential RecommendationCode0
Enhancing Sequential Music Recommendation with Personalized Popularity AwarenessCode0
HAM: Hybrid Associations Models for Sequential RecommendationCode0
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential RecommendationCode0
Empowering Sequential Recommendation from Collaborative Signals and Semantic RelatednessCode0
Modeling Sequential Recommendation as Missing Information ImputationCode0
Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and ItemsCode0
Hierarchical Context enabled Recurrent Neural Network for RecommendationCode0
TriMLP: Revenge of a MLP-like Architecture in Sequential RecommendationCode0
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item PredictionCode0
Improving Sequential Recommendation Models with an Enhanced Loss FunctionCode0
Modeling Dynamic User Preference via Dictionary Learning for Sequential RecommendationCode0
MV-RNN: A Multi-View Recurrent Neural Network for Sequential RecommendationCode0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
ARERec: Attentive Local Interaction Model for Sequential RecommendationCode0
Sequential Recommendation with Controllable Diversification: Representation Degeneration and DiversityCode0
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential RecommendationCode0
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential RecommendersCode0
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start RecommendationCode0
Dual-interest Factorization-heads Attention for Sequential RecommendationCode0
Show:102550
← PrevPage 10 of 23Next →

No leaderboard results yet.