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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 201–250 of 554 papers

TitleStatusHype
GenRec: Generative Sequential Recommendation with Large Language ModelsCode0
CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential RecommendationCode0
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential RecommendationCode0
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task LearningCode0
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
Adaptive Long-term Embedding with Denoising and Augmentation for RecommendationCode0
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language ModelingCode0
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential RecommendationCode0
CosRec: 2D Convolutional Neural Networks for Sequential RecommendationCode0
Robust Reinforcement Learning Objectives for Sequential Recommender SystemsCode0
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term RetentionCode0
Attacking Pre-trained RecommendationCode0
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRecCode0
Contrastive Enhanced Slide Filter Mixer for Sequential RecommendationCode0
Prompt-based Multi-interest Learning Method for Sequential RecommendationCode0
A Hierarchical Contextual Attention-based GRU Network for Sequential RecommendationCode0
Privacy-Preserving Cross-Domain Sequential RecommendationCode0
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender SystemCode0
Positional encoding is not the same as context: A study on positional encoding for sequential recommendationCode0
Prediction then Correction: An Abductive Prediction Correction Method for Sequential RecommendationCode0
Personalized Top-N Sequential Recommendation via Convolutional Sequence EmbeddingCode0
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential RecommendationCode0
Multi-Grained Patch Training for Efficient LLM-based RecommendationCode0
PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial ActionsCode0
Preference Distillation for Personalized Generative RecommendationCode0
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
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
HAM: Hybrid Associations Models for Sequential RecommendationCode0
Enhancing Sequential Music Recommendation with Personalized Popularity AwarenessCode0
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
Hierarchical Context enabled Recurrent Neural Network for RecommendationCode0
Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and ItemsCode0
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
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