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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 276–300 of 554 papers

TitleStatusHype
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
Linear Recurrent Units for Sequential RecommendationCode1
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
KuaiSim: A Comprehensive Simulator for Recommender SystemsCode1
Diffusion Augmentation for Sequential RecommendationCode1
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation—0
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation—0
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language ModelingCode0
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential RecommendationCode0
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach—0
Leveraging Large Language Models for Sequential RecommendationCode1
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningCode1
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task LearningCode0
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
A Survey on Multi-Behavior Sequential Recommendation—0
RecMind: Large Language Model Powered Agent For Recommendation—0
Text Matching Improves Sequential Recommendation by Reducing Popularity BiasesCode1
LLMRec: Benchmarking Large Language Models on Recommendation TaskCode1
Invariant representation learning for sequential recommendation—0
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for RecommendationCode1
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation—0
Attention Calibration for Transformer-based Sequential RecommendationCode1
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