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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 101–150 of 554 papers

TitleStatusHype
LLMRec: Benchmarking Large Language Models on Recommendation TaskCode1
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender SystemsCode1
Contrastive Cross-Domain Sequential RecommendationCode1
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential RecommendationCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
Contrastive Learning for Sequential RecommendationCode1
Preference Diffusion for RecommendationCode1
LLaRA: Large Language-Recommendation AssistantCode1
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?Code1
Controllable Multi-Interest Framework for RecommendationCode1
Attention Mixtures for Time-Aware Sequential RecommendationCode1
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
KuaiSim: A Comprehensive Simulator for Recommender SystemsCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain RecommendationCode1
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsCode1
Intent Contrastive Learning with Cross Subsequences for Sequential RecommendationCode1
Intent Contrastive Learning for Sequential RecommendationCode1
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential RecommendationCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Repeated Padding for Sequential RecommendationCode1
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential RecommendationCode1
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate PredictionCode1
Self-Attentive Sequential RecommendationCode1
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential RecommendationCode1
EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationCode1
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationCode1
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-AttentionCode1
Debiased Contrastive Learning for Sequential RecommendationCode1
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System ExposureCode1
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional TransformersCode1
Decoupled Side Information Fusion for Sequential RecommendationCode1
Linear Recurrent Units for Sequential RecommendationCode1
Linear-Time Self Attention with Codeword Histogram for Efficient RecommendationCode1
An Empirical Study of Training ID-Agnostic Multi-modal Sequential RecommendersCode1
Dually Enhanced Propensity Score Estimation in Sequential RecommendationCode1
Diffusion-based Contrastive Learning for Sequential RecommendationCode1
Dynamic Graph Neural Networks for Sequential RecommendationCode1
ELECRec: Training Sequential Recommenders as DiscriminatorsCode1
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph LearningCode1
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationCode1
DiffuRec: A Diffusion Model for Sequential RecommendationCode1
Diffusion Augmentation for Sequential RecommendationCode1
Leveraging Large Language Models for Sequential RecommendationCode1
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