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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 476–500 of 554 papers

TitleStatusHype
Modeling Sequences as Distributions with Uncertainty for Sequential RecommendationCode1
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention—0
Linear-Time Self Attention with Codeword Histogram for Efficient RecommendationCode1
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
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Adversarial and Contrastive Variational Autoencoder for Sequential RecommendationCode1
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
Dynamic Memory based Attention Network for Sequential RecommendationCode1
Sparse-Interest Network for Sequential RecommendationCode1
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels—0
Freudian and Newtonian Recurrent Cell for Sequential Recommendation—0
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationCode1
Offline Adaptive Policy Leaning in Real-World Sequential Recommendation Systems—0
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative StackingCode1
Cold-start Sequential Recommendation via Meta Learner—0
KATRec: Knowledge Aware aTtentive Sequential RecommendationsCode0
Mixed Information Flow for Cross-domain Sequential RecommendationsCode1
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation AlgorithmsCode2
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