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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
Revisiting Self-Attentive Sequential RecommendationCode4
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User ModelingCode4
Data Augmentation for Sequential Recommendation: A SurveyCode3
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential RecommendationCode2
RecGPT: A Foundation Model for Sequential RecommendationCode2
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement LearningCode2
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential RecommendationCode2
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential RecommendationCode2
SelfGNN: Self-Supervised Graph Neural Networks for Sequential RecommendationCode2
Dataset Regeneration for Sequential RecommendationCode2
Multi-Behavior Generative RecommendationCode2
IDGenRec: LLM-RecSys Alignment with Textual ID LearningCode2
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space ModelsCode2
MACRec: a Multi-Agent Collaboration Framework for RecommendationCode2
Improving Sequential Recommendations with LLMsCode2
End-to-end Learnable Clustering for Intent Learning in RecommendationCode2
SSLRec: A Self-Supervised Learning Framework for 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
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation AlgorithmsCode2
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential RecommendationCode1
GLoSS: Generative Language Models with Semantic Search for Sequential RecommendationCode1
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective ApproachCode1
Flow Matching based Sequential Recommender ModelCode1
DIFF: Dual Side-Information Filtering and Fusion for Sequential RecommendationCode1
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsCode1
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair SelectionCode1
Intent-aware Diffusion with Contrastive Learning for Sequential RecommendationCode1
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationCode1
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?Code1
A Contextual-Aware Position Encoding for Sequential RecommendationCode1
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential RecommendationCode1
RaSeRec: Retrieval-Augmented Sequential RecommendationCode1
Augmenting Sequential Recommendation with Balanced Relevance and DiversityCode1
Scaling Sequential Recommendation Models with TransformersCode1
Temporal Linear Item-Item Model for Sequential RecommendationCode1
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language ModelsCode1
Oracle-guided Dynamic User Preference Modeling for Sequential RecommendationCode1
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender SystemsCode1
SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item SimilarityCode1
Preference Diffusion for RecommendationCode1
Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation ModelsCode1
Multi-Behavioral Sequential RecommendationCode1
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item CatalogsCode1
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal RecommendationCode1
TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality ModelCode1
Generative Recommender with End-to-End Learnable Item TokenizationCode1
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential RecommendationCode1
MARS: Matching Attribute-aware Representations for Text-based Sequential RecommendationCode1
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session RecommendationCode1
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