:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xinfeng, Cui, Jin, Fukumoto, Fumiyo, Suzuki, Yoshimi
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Computation and Language
Online Access:	https://arxiv.org/abs/2409.19979
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RDRec: Rationale Distillation for LLM-based Recommendation
by: Wang, Xinfeng, et al.
Published: (2024)

NFARec: A Negative Feedback-Aware Recommender Model
by: Wang, Xinfeng, et al.
Published: (2024)

CaDRec: Contextualized and Debiased Recommender Model
by: Wang, Xinfeng, et al.
Published: (2024)

Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis
by: Cui, Jin, et al.
Published: (2024)

Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)

Enhancing Content-based Recommendation via Large Language Model
by: Xu, Wentao, et al.
Published: (2024)

Uncertainty Quantification and Decomposition for LLM-based Recommendation
by: Kweon, Wonbin, et al.
Published: (2025)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions
by: Luo, Sichun, et al.
Published: (2024)

Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
by: Zhang, Ruohan, et al.
Published: (2025)

CURE:Circuit-Aware Unlearning for LLM-based Recommendation
by: Chen, Ziheng, et al.
Published: (2026)

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

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)

MMREC: LLM Based Multi-Modal Recommender System
by: Tian, Jiahao, et al.
Published: (2024)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
by: Wang, Xiaolei, et al.
Published: (2025)

Efficient Inference for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
by: Luo, Weiqing, et al.
Published: (2024)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform
by: Zhang, Jizhi, et al.
Published: (2024)

Leveraging LLM Reasoning Enhances Personalized Recommender Systems
by: Tsai, Alicia Y., et al.
Published: (2024)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)

iAgent: LLM Agent as a Shield between User and Recommender Systems
by: Xu, Wujiang, et al.
Published: (2025)

Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling
by: Wu, Yiqing, et al.
Published: (2026)

LLM-Enhanced Linear Autoencoders for Recommendation
by: Moon, Jaewan, et al.
Published: (2025)

Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
by: Islam, Md Aminul, et al.
Published: (2025)

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
by: Zheng, Wuqiang, et al.
Published: (2025)

Item-Language Model for Conversational Recommendation
by: Yang, Li, et al.
Published: (2024)

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
by: Chen, Zhongpu, et al.
Published: (2025)

Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
by: Waterschoot, Cedric, et al.
Published: (2025)

A Look Into News Avoidance Through AWRS: An Avoidance-Aware Recommender System
by: Azevedo, Igor L. R., et al.
Published: (2024)

Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)

Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling
by: Kapoor, Satya, et al.
Published: (2024)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
by: Lyu, Hanjia, et al.
Published: (2023)

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
by: Qu, Haohao, et al.
Published: (2024)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
by: Wang, Xiaolei, et al.
Published: (2023)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
by: Han, Donghee, et al.
Published: (2025)

Stealthy Attack on Large Language Model based Recommendation
by: Zhang, Jinghao, et al.
Published: (2024)

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
by: Liu, Yutian, et al.
Published: (2025)

Exposing Product Bias in LLM Investment Recommendation
by: Zhi, Yuhan, et al.
Published: (2025)

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
by: Liu, Yuanxing, et al.
Published: (2023)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
by: Zhuang, Shengyao, et al.
Published: (2025)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
by: Zhang, Chiyu, et al.
Published: (2024)