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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
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-AttentionCode1
Advances in Collaborative Filtering and RankingCode1
Efficient Failure Pattern Identification of Predictive AlgorithmsCode1
Linear-Time Self Attention with Codeword Histogram for Efficient RecommendationCode1
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential RecommendationCode1
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender SystemsCode1
ELECRec: Training Sequential Recommenders as DiscriminatorsCode1
A Self-Correcting Sequential RecommenderCode1
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?Code1
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationCode1
Generative Recommender with End-to-End Learnable Item TokenizationCode1
A Survey on Cross-Domain Sequential RecommendationCode1
Temporal Linear Item-Item Model for Sequential RecommendationCode1
SLMRec: Distilling Large Language Models into Small for Sequential RecommendationCode1
MARS: Matching Attribute-aware Representations for Text-based Sequential RecommendationCode1
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
MV-RNN: A Multi-View Recurrent Neural Network for Sequential RecommendationCode0
C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized RecommendationCode0
Neighborhood-based Hard Negative Mining for Sequential RecommendationCode0
CSSR: A Context-Aware Sequential Software Service Recommendation ModelCode0
Your Causal Self-Attentive Recommender Hosts a Lonely NeighborhoodCode0
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential RecommendationCode0
CSRec: Rethinking Sequential Recommendation from A Causal PerspectiveCode0
GenRec: Generative Sequential Recommendation with Large Language ModelsCode0
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential RecommendationCode0
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