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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 451–500 of 554 papers

TitleStatusHype
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-CommerceCode1
RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender SystemCode1
Learning to Learn a Cold-start Sequential Recommender—0
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Self-supervised Learning for Sequential Recommendation with Model Augmentation—0
Extracting Attentive Social Temporal Excitation for Sequential Recommendation—0
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential RecommendationCode1
A Survey on Reinforcement Learning for Recommender Systems—0
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation—0
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential RecommendationCode1
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
Lightweight Self-Attentive Sequential Recommendation—0
Is News Recommendation a Sequential Recommendation Task?—0
Personalized next-best action recommendation with multi-party interaction learning for automated decision-making—0
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation—0
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerCode1
Contrastive Self-supervised Sequential Recommendation with Robust AugmentationCode1
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models—0
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search—0
Sequential Recommendation for Cold-start Users with Meta Transitional LearningCode1
Position-enhanced and Time-aware Graph Convolutional Network for Sequential RecommendationsCode1
Sequential Recommendation with Graph Neural NetworksCode1
Improving Sequential Recommendation Consistency with Self-Supervised Imitation—0
Improving Transformer-based Sequential Recommenders through Preference Editing—0
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-SharingCode1
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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