LLMs for User Interest Exploration in Large-scale Recommendation Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jianling, Lu, Haokai, Liu, Yifan, Ma, He, Wang, Yueqi, Gu, Yang, Zhang, Shuzhou, Han, Ningren, Bi, Shuchao, Baugher, Lexi, Chi, Ed, Chen, Minmin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2025)
by: Wang, Jianling, et al.
Published: (2025)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
by: Meng, Changping, et al.
Published: (2025)
by: Meng, Changping, et al.
Published: (2025)
Long-Term Value of Exploration: Measurements, Findings and Algorithms
by: Su, Yi, et al.
Published: (2023)
by: Su, Yi, et al.
Published: (2023)
Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)
by: Wang, Haoting, et al.
Published: (2025)
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
by: He, Ruining, et al.
Published: (2025)
by: He, Ruining, et al.
Published: (2025)
Treatment Effect Estimation for User Interest Exploration on Recommender Systems
by: Chen, Jiaju, et al.
Published: (2024)
by: Chen, Jiaju, et al.
Published: (2024)
Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
by: Pan, Hang, et al.
Published: (2024)
by: Pan, Hang, et al.
Published: (2024)
Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
by: Li, Yisha, et al.
Published: (2025)
by: Li, Yisha, et al.
Published: (2025)
LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations
by: Long, Boyuan, et al.
Published: (2025)
by: Long, Boyuan, et al.
Published: (2025)
Interest Changes: Considering User Interest Life Cycle in Recommendation System
by: Cai, Yinjiang, et al.
Published: (2025)
by: Cai, Yinjiang, et al.
Published: (2025)
Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems
by: Wang, Dong, et al.
Published: (2025)
by: Wang, Dong, et al.
Published: (2025)
Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systems
by: Liu, Peng, et al.
Published: (2024)
by: Liu, Peng, et al.
Published: (2024)
LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025)
by: Lin, Allen, et al.
Published: (2025)
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
by: Wang, Yuyan, et al.
Published: (2024)
by: Wang, Yuyan, et al.
Published: (2024)
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
by: He, Zhiyu, et al.
Published: (2025)
by: He, Zhiyu, et al.
Published: (2025)
DUET: Joint Exploration of User Item Profiles in Recommendation System
by: Chen, Yue, et al.
Published: (2026)
by: Chen, Yue, et al.
Published: (2026)
User Long-Term Multi-Interest Retrieval Model for Recommendation
by: Meng, Yue, et al.
Published: (2025)
by: Meng, Yue, et al.
Published: (2025)
Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
by: Su, Zhengyang, et al.
Published: (2026)
by: Su, Zhengyang, et al.
Published: (2026)
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations
by: Wang, Yuyan, et al.
Published: (2025)
by: Wang, Yuyan, et al.
Published: (2025)
Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
by: Wang, Yueqi, et al.
Published: (2024)
by: Wang, Yueqi, et al.
Published: (2024)
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2025)
by: Zhang, Changshuo, et al.
Published: (2025)
Capturing User Interests from Data Streams for Continual Sequential Recommendation
by: Lee, Gyuseok, et al.
Published: (2025)
by: Lee, Gyuseok, et al.
Published: (2025)
Enhancing Content-based Recommendation via Large Language Model
by: Xu, Wentao, et al.
Published: (2024)
by: Xu, Wentao, et al.
Published: (2024)
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)
by: Zhang, Qiang, et al.
Published: (2026)
SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation
by: Arustashvili, Mariam, et al.
Published: (2025)
by: Arustashvili, Mariam, et al.
Published: (2025)
Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
by: Li, Xiaodong, et al.
Published: (2026)
by: Li, Xiaodong, et al.
Published: (2026)
Leveraging LLMs for Influence Path Planning in Proactive Recommendation
by: Wang, Mingze, et al.
Published: (2024)
by: Wang, Mingze, et al.
Published: (2024)
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
Diffusion Model for Interest Refinement in Multi-Interest Recommendation
by: Le, Yankun, et al.
Published: (2025)
by: Le, Yankun, et al.
Published: (2025)
Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
by: Mao, Chunyan, et al.
Published: (2024)
by: Mao, Chunyan, et al.
Published: (2024)
Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
by: Fang, Yi, et al.
Published: (2025)
by: Fang, Yi, et al.
Published: (2025)
Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
by: Liu, Weiming, et al.
Published: (2025)
by: Liu, Weiming, et al.
Published: (2025)
Large Language Model driven Policy Exploration for Recommender Systems
by: Wang, Jie, et al.
Published: (2025)
by: Wang, Jie, et al.
Published: (2025)
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
RecCoT: Enhancing Recommendation via Chain-of-Thought
by: Yang, Shuo, et al.
Published: (2025)
by: Yang, Shuo, et al.
Published: (2025)
A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data
by: Wang, Zehui, et al.
Published: (2023)
by: Wang, Zehui, et al.
Published: (2023)
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
by: Wang, Yueqi, et al.
Published: (2024)
by: Wang, Yueqi, et al.
Published: (2024)
FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025)
by: Peng, Qiyao, et al.
Published: (2025)
Similar Items
-
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2025) -
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024) -
Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates
by: Meng, Changping, et al.
Published: (2025) -
Long-Term Value of Exploration: Measurements, Findings and Algorithms
by: Su, Yi, et al.
Published: (2023) -
Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)