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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 51–100 of 554 papers

TitleStatusHype
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential RecommendationCode1
A Systematic Review and Replicability Study of BERT4Rec for Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
Intent Contrastive Learning with Cross Subsequences for Sequential RecommendationCode1
Attention Calibration for Transformer-based Sequential RecommendationCode1
Attention Mixtures for Time-Aware Sequential RecommendationCode1
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
Contrastive Self-supervised Sequential Recommendation with Robust AugmentationCode1
Effective and Efficient Training for Sequential Recommendation using Recency SamplingCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningCode1
Harnessing Large Language Models for Text-Rich Sequential RecommendationCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Dynamic Memory based Attention Network for Sequential RecommendationCode1
DiffuRec: A Diffusion Model for Sequential RecommendationCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Contrastive Cross-Domain Sequential RecommendationCode1
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
Diffusion Augmentation for Sequential RecommendationCode1
DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationCode1
Black-Box Attacks on Sequential Recommenders via Data-Free Model ExtractionCode1
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationCode1
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential RecommendationCode1
Dually Enhanced Propensity Score Estimation in Sequential RecommendationCode1
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential RecommendationCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Efficient Failure Pattern Identification of Predictive AlgorithmsCode1
CT4Rec: Simple yet Effective Consistency Training for Sequential RecommendationCode1
Contrastive Learning for Sequential RecommendationCode1
Generative Recommender with End-to-End Learnable Item TokenizationCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
Explanation Guided Contrastive Learning for Sequential RecommendationCode1
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-AttentionCode1
Advances in Collaborative Filtering and RankingCode1
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential RecommendationCode1
FineRec:Exploring Fine-grained Sequential RecommendationCode1
A Self-Correcting Sequential RecommenderCode1
Adversarial and Contrastive Variational Autoencoder for Sequential RecommendationCode1
A Survey on Cross-Domain Sequential RecommendationCode1
Generate What You Prefer: Reshaping Sequential Recommendation via Guided DiffusionCode1
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest SustainabilityCode1
Collaborative Word-based Pre-trained Item Representation for Transferable RecommendationCode1
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationCode1
Controllable Multi-Interest Framework for RecommendationCode1
An Empirical Study of Training ID-Agnostic Multi-modal Sequential RecommendersCode1
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System ExposureCode1
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