ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.16363
  4. Cited By
LLMs for User Interest Exploration in Large-scale Recommendation Systems

LLMs for User Interest Exploration in Large-scale Recommendation Systems

25 May 2024
Jianling Wang
Haokai Lu
Yifan Liu
He Ma
Yueqi Wang
Yang Gu
Shuzhou Zhang
Ningren Han
Shuchao Bi
Lexi Baugher
Ed H. Chi
Minmin Chen
ArXivPDFHTML

Papers citing "LLMs for User Interest Exploration in Large-scale Recommendation Systems"

4 / 4 papers shown
Title
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
Jianling Wang
Yifan Liu
Yinghao Sun
Xuejian Ma
Yueqi Wang
...
Onkar Dalal
Ed Chi
Lichan Hong
Ningren Han
Haokai Lu
28
0
0
07 Apr 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
Zijin Hong
Junnan Dong
Hao-Heng Chen
Yi-Ju Chang
Xiao Huang
3DV
70
7
0
21 Jan 2025
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
68
124
0
22 Oct 2022
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
313
0
30 Oct 2017
1