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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 326–350 of 554 papers

TitleStatusHype
Generative Diffusion Models for Sequential Recommendations—0
Generative Sequential Recommendation with GPTRec—0
GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training—0
GIMIRec: Global Interaction Information Aware Multi-Interest Framework for Sequential Recommendation—0
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems—0
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation—0
GOT4Rec: Graph of Thoughts for Sequential Recommendation—0
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation—0
Seq2seq Translation Model for Sequential Recommendation—0
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer—0
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation—0
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks—0
Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation—0
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation—0
Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation—0
Sequential Movie Genre Prediction using Average Transition Probability with Clustering—0
HMamba: Hyperbolic Mamba for Sequential Recommendation—0
ID-Agnostic User Behavior Pre-training for Sequential Recommendation—0
ID-centric Pre-training for Recommendation—0
Intelligent Model Update Strategy for Sequential Recommendation—0
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation—0
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training—0
Image Fusion for Cross-Domain Sequential Recommendation—0
Improve Temporal Awareness of LLMs for Sequential Recommendation—0
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation—0
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