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Sequential Recommendation
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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.
논문
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Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation
LLM-based User Profile Management for Recommender System
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
A Contextual-Aware Position Encoding for Sequential Recommendation
SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation
Improving Minimax Group Fairness in Sequential Recommendation
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation
Multi-Grained Patch Training for Efficient LLM-based Recommendation
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec
Image Fusion for Cross-Domain Sequential Recommendation
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
RaSeRec: Retrieval-Augmented Sequential Recommendation
Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models
Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
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