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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 501–525 of 554 papers

TitleStatusHype
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention—0
CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation—0
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation—0
Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks—0
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation—0
UPRec: User-Aware Pre-training for Recommender Systems—0
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels—0
Freudian and Newtonian Recurrent Cell for Sequential Recommendation—0
Offline Adaptive Policy Leaning in Real-World Sequential Recommendation Systems—0
Cold-start Sequential Recommendation via Meta Learner—0
KATRec: Knowledge Aware aTtentive Sequential RecommendationsCode0
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender SystemCode0
TRec: Sequential Recommender Based On Latent Item Trend Information—0
Sequential recommendation with metric models based on frequent sequences—0
Learning Post-Hoc Causal Explanations for Recommendation—0
Self-Supervised Reinforcement Learning for Recommender Systems—0
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective—0
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation—0
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval—0
HAM: Hybrid Associations Models for Sequential RecommendationCode0
Learning to Structure Long-term Dependence for Sequential Recommendation—0
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation—0
SANST: A Self-Attentive Network for Next Point-of-Interest Recommendation—0
Memory Augmented Graph Neural Networks for Sequential RecommendationCode0
Seq2seq Translation Model for Sequential Recommendation—0
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