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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 201–250 of 554 papers

TitleStatusHype
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm—0
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term RetentionCode0
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFTCode1
Sequential Recommendation with Latent Relations based on Large Language ModelCode1
IDGenRec: LLM-RecSys Alignment with Textual ID LearningCode2
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation—0
An Empirical Study of Training ID-Agnostic Multi-modal Sequential RecommendersCode1
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling—0
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential RecommendationCode1
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential RecommendationCode0
Harnessing Large Language Models for Text-Rich Sequential RecommendationCode1
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment RecommendationCode1
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai—0
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential RecommendationCode1
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential RecommendationCode0
Empowering Sequential Recommendation from Collaborative Signals and Semantic RelatednessCode0
Repeated Padding for Sequential RecommendationCode1
Multi-Tower Multi-Interest Recommendation with User Representation Repel—0
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
SSDRec: Self-Augmented Sequence Denoising for Sequential RecommendationCode1
Can Small Language Models be Good Reasoners for Sequential Recommendation?—0
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space ModelsCode2
Sequence-level Semantic Representation Fusion for Recommender SystemsCode1
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation—0
MACRec: a Multi-Agent Collaboration Framework for RecommendationCode2
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential RecommendationCode1
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation—0
Pattern-wise Transparent Sequential Recommendation—0
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation—0
Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention—0
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction—0
Rethinking Large Language Model Architectures for Sequential Recommendations—0
Improving Sequential Recommendations with LLMsCode2
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning AttacksCode0
Privacy-Preserving Cross-Domain Sequential RecommendationCode0
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision—0
End-to-end Learnable Clustering for Intent Learning in RecommendationCode2
A Survey on Cross-Domain Sequential RecommendationCode1
Privacy-Preserving Sequential Recommendation with Collaborative Confusion—0
Prompt-based Multi-interest Learning Method for Sequential RecommendationCode0
Plug-in Diffusion Model for Sequential RecommendationCode1
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot TransferCode0
Curriculum-scheduled Knowledge Distillation from Multiple Pre-trained Teachers for Multi-domain Sequential RecommendationCode0
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k RecommendationCode1
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation—0
A novel diffusion recommendation algorithm based on multi-scale cnn and residual lstm—0
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-AttentionCode1
Context-Aware Sequential Model for Multi-Behaviour RecommendationCode1
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System ExposureCode1
RecJPQ: Training Large-Catalogue Sequential RecommendersCode1
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