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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 276–300 of 554 papers

TitleStatusHype
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services—0
Multimodal Point-of-Interest Recommendation—0
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential RecommendationCode0
Autoregressive Generation Strategies for Top-K Sequential Recommendations—0
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation—0
Measuring Recency Bias In Sequential Recommendation Systems—0
Multi-intent Aware Contrastive Learning for Sequential Recommendation—0
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive LearningCode0
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential RecommendationCode0
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings—0
Enhancing Sequential Music Recommendation with Personalized Popularity AwarenessCode0
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information—0
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models—0
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item PredictionCode0
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential RecommendersCode0
CSRec: Rethinking Sequential Recommendation from A Causal PerspectiveCode0
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models—0
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation—0
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation—0
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation—0
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation—0
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation—0
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