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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 401–425 of 554 papers

TitleStatusHype
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation—0
DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation—0
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation—0
An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec—0
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation—0
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation—0
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation—0
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling—0
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation—0
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation—0
Denoising Long- and Short-term Interests for Sequential Recommendation—0
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation—0
Denoising Self-attentive Sequential Recommendation—0
Enhancing Sequential Recommendation with Graph Contrastive Learning—0
UPRec: User-Aware Pre-training for Recommender Systems—0
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation—0
Time Lag Aware Sequential Recommendation—0
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems—0
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models—0
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models—0
DiPS: Differentiable Policy for Sketching in Recommender Systems—0
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation—0
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation—0
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks—0
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