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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 1–50 of 554 papers

TitleStatusHype
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User ModelingCode4
Revisiting Self-Attentive Sequential RecommendationCode4
Data Augmentation for Sequential Recommendation: A SurveyCode3
SSLRec: A Self-Supervised Learning Framework for RecommendationCode2
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential RecommendationCode2
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential RecommendationCode2
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation AlgorithmsCode2
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement LearningCode2
IDGenRec: LLM-RecSys Alignment with Textual ID LearningCode2
RecGPT: A Foundation Model for Sequential RecommendationCode2
MACRec: a Multi-Agent Collaboration Framework for RecommendationCode2
Improving Sequential Recommendations with LLMsCode2
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space ModelsCode2
Multi-Behavior Generative RecommendationCode2
End-to-end Learnable Clustering for Intent Learning in RecommendationCode2
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential RecommendationCode2
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender SystemsCode2
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)Code2
SelfGNN: Self-Supervised Graph Neural Networks for Sequential RecommendationCode2
Dataset Regeneration for Sequential RecommendationCode2
Determinantal Point Process Likelihoods for Sequential RecommendationCode1
Decoupled Side Information Fusion for Sequential RecommendationCode1
DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential RecommendationCode1
Debiased Contrastive Learning for Sequential RecommendationCode1
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-SharingCode1
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional TransformersCode1
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsCode1
Adaptive Multi-Modalities Fusion in Sequential Recommendation SystemsCode1
A Generic Network Compression Framework for Sequential Recommender SystemsCode1
A Contextual-Aware Position Encoding for Sequential RecommendationCode1
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and EvaluationsCode1
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System ExposureCode1
DiffuRec: A Diffusion Model for Sequential RecommendationCode1
Adversarial and Contrastive Variational Autoencoder for Sequential RecommendationCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
Controllable Multi-Interest Framework for RecommendationCode1
Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationCode1
Attention Calibration for Transformer-based Sequential RecommendationCode1
Contrastive Learning with Bidirectional Transformers for Sequential RecommendationCode1
Attention Mixtures for Time-Aware Sequential RecommendationCode1
Advances in Collaborative Filtering and RankingCode1
Contrastive Self-supervised Sequential Recommendation with Robust AugmentationCode1
A Self-Correcting Sequential RecommenderCode1
A Survey on Cross-Domain Sequential RecommendationCode1
A Systematic Review and Replicability Study of BERT4Rec for Sequential RecommendationCode1
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationCode1
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training TransformerCode1
Contrastive Learning for Sequential RecommendationCode1
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