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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 476–500 of 554 papers

TitleStatusHype
Memory Augmented Graph Neural Networks for Sequential RecommendationCode0
Unsupervised Graph Embeddings for Session-based Recommendation with Item FeaturesCode0
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
ARERec: Attentive Local Interaction Model for Sequential RecommendationCode0
Sparse Attentive Memory Network for Click-through Rate Prediction with Long SequencesCode0
C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized RecommendationCode0
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
Mutual Harmony: Sequential Recommendation with Dual Contrastive NetworkCode0
HAM: Hybrid Associations Models for Sequential RecommendationCode0
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution NetworkCode0
SS4Rec: Continuous-Time Sequential Recommendation with State Space ModelsCode0
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential RecommendationCode0
Enhancing Sequential Music Recommendation with Personalized Popularity AwarenessCode0
Hierarchical Context enabled Recurrent Neural Network for RecommendationCode0
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item PredictionCode0
Hierarchical Gating Networks for Sequential RecommendationCode0
Preference Distillation for Personalized Generative RecommendationCode0
A Hierarchical Contextual Attention-based GRU Network for Sequential RecommendationCode0
Modeling Dynamic User Preference via Dictionary Learning for Sequential RecommendationCode0
HTP: Exploiting Holistic Temporal Patterns for Sequential RecommendationCode0
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential RecommendationCode0
TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal ContentCode0
Dual-interest Factorization-heads Attention for Sequential RecommendationCode0
Modeling Sequential Recommendation as Missing Information ImputationCode0
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