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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 176–200 of 554 papers

TitleStatusHype
Sparse-Interest Network for Sequential RecommendationCode1
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationCode1
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative StackingCode1
Mixed Information Flow for Cross-domain Sequential RecommendationsCode1
Future-Aware Diverse Trends Framework for RecommendationCode1
Contrastive Learning for Sequential RecommendationCode1
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 Self-Attentive Multi-Adversarial NetworkCode1
Controllable Multi-Interest Framework for RecommendationCode1
A Generic Network Compression Framework for Sequential Recommender SystemsCode1
Advances in Collaborative Filtering and RankingCode1
TiSASRec: Time Interval Aware Self-Attention for Sequential RecommendationCode1
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and EvaluationsCode1
Self-Attentive Sequential RecommendationCode1
Similarity-Guided Diffusion for Contrastive Sequential Recommendation—0
Unconditional Diffusion for Generative Sequential RecommendationCode0
DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation—0
A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation—0
C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized RecommendationCode0
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain RecommendationCode0
LARES: Latent Reasoning for Sequential Recommendation—0
HMamba: Hyperbolic Mamba for Sequential Recommendation—0
M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation—0
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation—0
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