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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 501–550 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
Sequential Recommendation with Relation-Aware Kernelized Self-Attention—0
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation ModelingCode0
Cascading: Association Augmented Sequential Recommendation—0
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations—0
SSE-PT: Sequential Recommendation Via Personalized TransformerCode0
Improving End-to-End Sequential Recommendations with Intent-aware DiversificationCode0
CosRec: 2D Convolutional Neural Networks for Sequential RecommendationCode0
A Review-Driven Neural Model for Sequential Recommendation—0
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs—0
Hierarchical Gating Networks for Sequential RecommendationCode0
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation—0
DeepRec: An Open-source Toolkit for Deep Learning based RecommendationCode0
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs—0
Topic-Enhanced Memory Networks for Personalised Point-of-Interest RecommendationCode0
Hierarchical Context enabled Recurrent Neural Network for RecommendationCode0
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from TransformerCode0
Towards Neural Mixture Recommender for Long Range Dependent User Sequences—0
Adaptive User Modeling with Long and Short-Term Preferences for Personalized RecommendationCode0
MV-RNN: A Multi-View Recurrent Neural Network for Sequential RecommendationCode0
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation—0
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks—0
Personalized Top-N Sequential Recommendation via Convolutional Sequence EmbeddingCode0
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation—0
Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation—0
Superposition-Assisted Stochastic Optimization for Hawkes Processes—0
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