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 376–400 of 554 papers

TitleStatusHype
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation—0
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language—0
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation—0
Farzi Data: Autoregressive Data Distillation—0
Memory efficient location recommendation through proximity-aware representation—0
Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential RecommendationCode0
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems—0
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation—0
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation—0
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation—0
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language ModelingCode0
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation—0
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential RecommendationCode0
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach—0
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task LearningCode0
A Survey on Multi-Behavior Sequential Recommendation—0
RecMind: Large Language Model Powered Agent For Recommendation—0
Invariant representation learning for sequential recommendation—0
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation—0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential RecommendationCode0
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation—0
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation—0
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning—0
Show:102550
← PrevPage 16 of 23Next →

No leaderboard results yet.