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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
Improving Sequential Recommenders through Counterfactual Augmentation of System ExposureCode0
Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation—0
CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential RecommendationCode0
Slow Thinking for Sequential Recommendation—0
Revisiting Self-Attentive Sequential RecommendationCode4
JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture—0
A Novel Mamba-based Sequential Recommendation Method—0
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation—0
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation—0
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential RecommendationCode1
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models—0
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation—0
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement LearningCode2
Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform—0
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation—0
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation—0
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions—0
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation—0
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation—0
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation—0
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders—0
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation—0
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation—0
Semantic Gaussian Mixture Variational Autoencoder for Sequential RecommendationCode0
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential RecommendationCode0
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