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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 26–50 of 554 papers

TitleStatusHype
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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