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Breaking the Barrier: Utilizing Large Language Models for Industrial
  Recommendation Systems through an Inferential Knowledge Graph

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph

21 February 2024
Qian Zhao
Hao Qian
Ziqi Liu
Gong-Duo Zhang
Lihong Gu
    KELM
ArXiv (abs)PDFHTML

Papers citing "Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph"

11 / 11 papers shown
Title
Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs
Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs
Yanlin Song
Ben Liu
Víctor Gutiérrez-Basulto
Zhiwei Hu
Qianqian Xie
Min Peng
Sophia Ananiadou
Jeff Z. Pan
RALMReLMLRM
239
0
0
23 Oct 2025
Generation and annotation of item usage scenarios in e-commerce using large language models
Generation and annotation of item usage scenarios in e-commerce using large language models
Madoka Hagiri
Kazushi Okamoto
Koki Karube
Kei Harada
Atsushi Shibata
56
0
0
09 Oct 2025
A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
Kuan Zou
Aixin Sun
OffRL
145
2
0
07 Sep 2025
Dual Collaborative LLMs via Continual Fine-Tuning for Serendipitous Recommendation
Dual Collaborative LLMs via Continual Fine-Tuning for Serendipitous Recommendation
Hongxiang Lin
Hao Guo
Zeshun Li
Erpeng Xue
Yexiao He
Xiangyu Hou
Zhaoyu Hu
Lei Wang
Sheng Chen
102
0
0
01 Aug 2025
Function-based Labels for Complementary Recommendation: Definition, Annotation, and LLM-as-a-Judge
Function-based Labels for Complementary Recommendation: Definition, Annotation, and LLM-as-a-JudgePattern Recognition Letters (Pattern Recogn. Lett.), 2025
Chihiro Yamasaki
Kai Sugahara
Yuma Nagi
Kazushi Okamoto
167
1
0
05 Jul 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRMAI4CE
258
7
0
23 Apr 2025
StePO-Rec: Towards Personalized Outfit Styling Assistant via Knowledge-Guided Multi-Step Reasoning
StePO-Rec: Towards Personalized Outfit Styling Assistant via Knowledge-Guided Multi-Step Reasoning
Yuxi Bi
Yunfan Gao
Haoyu Wang
192
3
0
14 Apr 2025
GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
Liu Shi
Tianwu Zhou
Wei Xu
Li-Yu Daisy Liu
Zhexin Cui
Shaoyi Liang
Haoxing Niu
Yichong Tian
Jianwei Guo
AI4TS
154
0
0
09 Apr 2025
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
Yuqi Sun
Qiang Liu
Haiping Zhu
Feng Tian
259
0
0
16 Mar 2025
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations
  with Large Language Models
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024
Zheng Hu
Zhe Li
Ziyun Jiao
Satoshi Nakagawa
Jiawen Deng
Shimin Cai
Tao Zhou
Fuji Ren
RALM
196
10
0
18 Dec 2024
A survey on fairness of large language models in e-commerce: progress,
  application, and challenge
A survey on fairness of large language models in e-commerce: progress, application, and challenge
Qingyang Ren
Zilin Jiang
Jinghan Cao
Sijia Li
Chiqu Li
Yiyang Liu
Shuning Huo
Tiange He
Yuan Chen
AILawFaML
259
14
0
15 May 2024
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