Saved in:
| Main Authors: | Chen, Chongxian, Mo, Fan, Fan, Xin, Yamana, Hayato |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.03085 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
News Recommendation with Category Description by a Large Language Model
by: Yada, Yuki, et al.
Published: (2024)
by: Yada, Yuki, et al.
Published: (2024)
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
Modeling Bias Evolution in Fashion Recommender Systems: A System Dynamics Approach
by: Goodarzi, Mahsa, et al.
Published: (2025)
by: Goodarzi, Mahsa, et al.
Published: (2025)
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)
by: Zhang, Qiang, et al.
Published: (2026)
Sequential LLM Framework for Fashion Recommendation
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
Memory Assisted LLM for Personalized Recommendation System
by: Chen, Jiarui
Published: (2025)
by: Chen, Jiarui
Published: (2025)
Fashion-AlterEval: A Dataset for Improved Evaluation of Conversational Recommendation Systems with Alternative Relevant Items
by: Vlachou, Maria
Published: (2025)
by: Vlachou, Maria
Published: (2025)
EXACT: Explicit Attribute-Guided Decoding-Time Personalization
by: Yu, Xin, et al.
Published: (2026)
by: Yu, Xin, et al.
Published: (2026)
Light distillation for Incremental Graph Convolution Collaborative Filtering
by: Fan, X, et al.
Published: (2025)
by: Fan, X, et al.
Published: (2025)
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
by: Xu, Kangming, et al.
Published: (2024)
by: Xu, Kangming, et al.
Published: (2024)
RecMind: Large Language Model Powered Agent For Recommendation
by: Wang, Yancheng, et al.
Published: (2023)
by: Wang, Yancheng, et al.
Published: (2023)
Personalized Image Generation for Recommendations Beyond Catalogs
by: Patron, Gabriel, et al.
Published: (2025)
by: Patron, Gabriel, et al.
Published: (2025)
Personalized Education with Ranking Alignment Recommendation
by: Liu, Haipeng, et al.
Published: (2025)
by: Liu, Haipeng, et al.
Published: (2025)
Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems
by: Li, Yuyuan, et al.
Published: (2025)
by: Li, Yuyuan, et al.
Published: (2025)
Diffusion Generative Recommendation with Continuous Tokens
by: Qu, Haohao, et al.
Published: (2025)
by: Qu, Haohao, et al.
Published: (2025)
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
by: Su, Jiajie, et al.
Published: (2024)
by: Su, Jiajie, et al.
Published: (2024)
Attribute-Aware Implicit Modality Alignment for Text Attribute Person Search
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Gated Multimodal Graph Learning for Personalized Recommendation
by: Liu, Sibei, et al.
Published: (2025)
by: Liu, Sibei, et al.
Published: (2025)
Improving LLM-powered Recommendations with Personalized Information
by: Liu, Jiahao, et al.
Published: (2025)
by: Liu, Jiahao, et al.
Published: (2025)
Disaggregating Embedding Recommendation Systems with FlexEMR
by: Huang, Yibo, et al.
Published: (2024)
by: Huang, Yibo, et al.
Published: (2024)
CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation
by: Fan, Zezhong, et al.
Published: (2026)
by: Fan, Zezhong, et al.
Published: (2026)
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems
by: Wang, Shuli, et al.
Published: (2025)
by: Wang, Shuli, et al.
Published: (2025)
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)
by: Zhu, Jiachen, et al.
Published: (2024)
UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture
by: Chen, Sitian, et al.
Published: (2024)
by: Chen, Sitian, et al.
Published: (2024)
Personalized Recommendation Models in Federated Settings: A Survey
by: Zhang, Chunxu, et al.
Published: (2025)
by: Zhang, Chunxu, et al.
Published: (2025)
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
by: Valkanas, Antonios, et al.
Published: (2024)
by: Valkanas, Antonios, et al.
Published: (2024)
L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
by: Pan, Pingjun, et al.
Published: (2026)
by: Pan, Pingjun, et al.
Published: (2026)
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
by: Wang, Qingzhuo, et al.
Published: (2026)
by: Wang, Qingzhuo, et al.
Published: (2026)
Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation
by: Chen, Jiaju, et al.
Published: (2026)
by: Chen, Jiaju, et al.
Published: (2026)
An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation
by: Rostami, Ali
Published: (2025)
by: Rostami, Ali
Published: (2025)
Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation
by: Bui, Tuan-Nghia, et al.
Published: (2025)
by: Bui, Tuan-Nghia, et al.
Published: (2025)
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
by: Shi, Chenxi, et al.
Published: (2024)
by: Shi, Chenxi, et al.
Published: (2024)
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
by: Guan, Zhong, et al.
Published: (2024)
by: Guan, Zhong, et al.
Published: (2024)
IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model
by: Bian, Weizhen, et al.
Published: (2024)
by: Bian, Weizhen, et al.
Published: (2024)
SynGR: Unleashing the Potential of Cross-Modal Synergy for Generative Recommendation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)
by: Shi, Zhan, et al.
Published: (2025)
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
by: Jiang, Zhenhao, et al.
Published: (2024)
by: Jiang, Zhenhao, et al.
Published: (2024)
Similar Items
-
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
by: Zhang, Yuxiang, et al.
Published: (2024) -
News Recommendation with Category Description by a Large Language Model
by: Yada, Yuki, et al.
Published: (2024) -
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025) -
Modeling Bias Evolution in Fashion Recommender Systems: A System Dynamics Approach
by: Goodarzi, Mahsa, et al.
Published: (2025) -
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)