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Bibliografiska uppgifter
Huvudupphovsmän:	Li, Li, Cheng, Mingyue, Ye, Yuyang, Liu, Zhiding, Chen, Enhong
Materialtyp:	Preprint
Publicerad:	2025
Ämnen:	Information Retrieval
Länkar:	https://arxiv.org/abs/2508.17618
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!

Liknande verk

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
av: Li, Li, et al.
Publicerad: (2024)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
av: Zhang, Hao, et al.
Publicerad: (2023)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
av: Cheng, Mingyue, et al.
Publicerad: (2024)

Flow Matching based Sequential Recommender Model
av: Liu, Feng, et al.
Publicerad: (2025)

Learning Recommender Systems with Soft Target: A Decoupled Perspective
av: Zhang, Hao, et al.
Publicerad: (2024)

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
av: Liu, Zhiding, et al.
Publicerad: (2025)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
av: Jiang, Junzhe, et al.
Publicerad: (2023)

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
av: Zhang, Jiaqing, et al.
Publicerad: (2025)

FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation
av: Ye, Yufei, et al.
Publicerad: (2026)

Unlocking the Potential of Large Language Models for Explainable Recommendations
av: Luo, Yucong, et al.
Publicerad: (2023)

Dataset Regeneration for Sequential Recommendation
av: Yin, Mingjia, et al.
Publicerad: (2024)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
av: Han, Yongqiang, et al.
Publicerad: (2025)

Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
av: Ye, Xiaoxin, et al.
Publicerad: (2025)

A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects
av: Zhang, Hao, et al.
Publicerad: (2025)

Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation
av: Xia, Jiafeng, et al.
Publicerad: (2024)

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
av: Li, Yupeng, et al.
Publicerad: (2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model
av: Ye, Yufei, et al.
Publicerad: (2025)

KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
av: Li, Yupeng, et al.
Publicerad: (2026)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
av: Han, Yongqiang, et al.
Publicerad: (2024)

FuXi-$α$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
av: Ye, Yufei, et al.
Publicerad: (2025)

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation
av: Zhang, Luankang, et al.
Publicerad: (2026)

Modeling User Fatigue for Sequential Recommendation
av: Li, Nian, et al.
Publicerad: (2024)

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
av: Xin, Haidong, et al.
Publicerad: (2025)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
av: Wang, Yu, et al.
Publicerad: (2025)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
av: Yin, Mingjia, et al.
Publicerad: (2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
av: Cui, Yu, et al.
Publicerad: (2024)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
av: Xie, Wenjia, et al.
Publicerad: (2024)

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
av: He, Chuan, et al.
Publicerad: (2024)

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
av: Yu, Haocheng, et al.
Publicerad: (2025)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
av: Wang, Hao, et al.
Publicerad: (2024)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
av: Wang, Hao, et al.
Publicerad: (2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
av: Li, Xiaodong, et al.
Publicerad: (2025)

DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
av: Qin, Qitao, et al.
Publicerad: (2024)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
av: Ye, Yuyang, et al.
Publicerad: (2024)

A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
av: Liu, Dugang, et al.
Publicerad: (2024)

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation
av: Shao, Yifan, et al.
Publicerad: (2025)

Scaling New Frontiers: Insights into Large Recommendation Models
av: Guo, Wei, et al.
Publicerad: (2024)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
av: Luo, Yucong, et al.
Publicerad: (2024)

Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
av: Hu, Hengchang, et al.
Publicerad: (2024)

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
av: Shen, Tingjia, et al.
Publicerad: (2024)