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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
Future-Aware Diverse Trends Framework for RecommendationCode1
Contrastive Learning for Sequential RecommendationCode1
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender SystemCode0
TRec: Sequential Recommender Based On Latent Item Trend Information—0
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential RecommendationCode1
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information MaximizationCode1
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
Sequential Recommendation with Self-Attentive Multi-Adversarial NetworkCode1
Controllable Multi-Interest Framework for RecommendationCode1
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation—0
A Generic Network Compression Framework for Sequential Recommender SystemsCode1
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval—0
HAM: Hybrid Associations Models for Sequential RecommendationCode0
Advances in Collaborative Filtering and RankingCode1
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
TiSASRec: Time Interval Aware Self-Attention for Sequential RecommendationCode1
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
CosRec: 2D Convolutional Neural Networks for Sequential RecommendationCode0
Improving End-to-End Sequential Recommendations with Intent-aware DiversificationCode0
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
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and EvaluationsCode1
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
Self-Attentive Sequential RecommendationCode1
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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