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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

Showing 126150 of 554 papers

TitleStatusHype
Multi-intent Aware Contrastive Learning for Sequential Recommendation0
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive LearningCode0
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential RecommendationCode0
Generative Recommender with End-to-End Learnable Item TokenizationCode1
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings0
Enhancing Sequential Music Recommendation with Personalized Popularity AwarenessCode0
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information0
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential RecommendationCode1
MARS: Matching Attribute-aware Representations for Text-based Sequential RecommendationCode1
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models0
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session RecommendationCode1
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 Models0
SIGMA: Selective Gated Mamba for Sequential RecommendationCode1
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation0
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items0
Customizing Language Models with Instance-wise LoRA for Sequential RecommendationCode1
Harnessing Multimodal Large Language Models for Multimodal Sequential RecommendationCode1
ELASTIC: Efficient Linear Attention for Sequential Interest Compression0
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation0
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation0
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation0
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation0
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