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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 451–475 of 554 papers

TitleStatusHype
Generating Negative Samples for Sequential Recommendation—0
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation—0
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential RecommendationCode0
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential RecommendationCode0
Recommender Transformers with Behavior Pathways—0
ID-Agnostic User Behavior Pre-training for Sequential Recommendation—0
Enhancing Sequential Recommendation with Graph Contrastive Learning—0
Personalized Prompt for Sequential Recommendation—0
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation—0
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation—0
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings—0
Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation—0
Coarse-to-Fine Sparse Sequential Recommendation—0
Learning to Augment for Casual User Recommendation—0
Modeling Dynamic User Preference via Dictionary Learning for Sequential RecommendationCode0
Sequential Recommendation with Causal Behavior Discovery—0
Sequential Recommendation with User Evolving Preference Decomposition—0
ARERec: Attentive Local Interaction Model for Sequential RecommendationCode0
Symmetry Structured Convolutional Neural NetworksCode0
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application—0
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models—0
NxtPost: User to Post Recommendations in Facebook Groups—0
Sequential Search with Off-Policy Reinforcement Learning—0
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