Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Ziyang, Chen, Renbing, Li, Daowei, Liao, Jinzhi, Sun, Jiashen, Zeng, Ke, Zhao, Xiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Contrastive Feedback for Effective User Simulations
by: Kruff, Andreas Konstantin, et al.
Published: (2025)
by: Kruff, Andreas Konstantin, et al.
Published: (2025)
Enhancing Music Recommendation with User Mood Input
by: Zeng, Terence
Published: (2026)
by: Zeng, Terence
Published: (2026)
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
by: Ma, Chenglong, et al.
Published: (2025)
by: Ma, Chenglong, et al.
Published: (2025)
Context-Aware Lifelong Sequential Modeling for Online Click-Through Rate Prediction
by: Guo, Ting, et al.
Published: (2025)
by: Guo, Ting, et al.
Published: (2025)
Value Function Decomposition in Markov Recommendation Process
by: Wang, Xiaobei, et al.
Published: (2025)
by: Wang, Xiaobei, et al.
Published: (2025)
Timehash: Hierarchical Time Indexing for Efficient Business Hours Search
by: Kim, Jinoh, et al.
Published: (2026)
by: Kim, Jinoh, et al.
Published: (2026)
A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
by: Chen, Ziyang, et al.
Published: (2025)
by: Chen, Ziyang, et al.
Published: (2025)
Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network
by: Zhao, Xu, et al.
Published: (2025)
by: Zhao, Xu, et al.
Published: (2025)
Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising
by: Li, Sijia, et al.
Published: (2026)
by: Li, Sijia, et al.
Published: (2026)
Reverse-Engineering the Retrieval Process in GenIR Models
by: Reusch, Anja, et al.
Published: (2025)
by: Reusch, Anja, et al.
Published: (2025)
Modeling Stage-wise Evolution of User Interests for News Recommendation
by: Cheng, Zhiyong, et al.
Published: (2026)
by: Cheng, Zhiyong, et al.
Published: (2026)
Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation
by: Xiao, Jing, et al.
Published: (2026)
by: Xiao, Jing, et al.
Published: (2026)
Selective Query Processing: a Risk-Sensitive Selection of System Configurations
by: Mothe, Josiane, et al.
Published: (2023)
by: Mothe, Josiane, et al.
Published: (2023)
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
by: Ye, Xiaopeng, et al.
Published: (2025)
by: Ye, Xiaopeng, et al.
Published: (2025)
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
by: Deng, Hao, et al.
Published: (2025)
by: Deng, Hao, et al.
Published: (2025)
Doc2Query++: Topic-Coverage based Document Expansion and its Application to Dense Retrieval via Dual-Index Fusion
by: Kuo, Tzu-Lin, et al.
Published: (2025)
by: Kuo, Tzu-Lin, et al.
Published: (2025)
RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce
by: Chen, Zhiguo, et al.
Published: (2026)
by: Chen, Zhiguo, et al.
Published: (2026)
Relevance Filtering for Embedding-based Retrieval
by: Rossi, Nicholas, et al.
Published: (2024)
by: Rossi, Nicholas, et al.
Published: (2024)
EntGPT: Entity Linking with Generative Large Language Models
by: Ding, Yifan, et al.
Published: (2024)
by: Ding, Yifan, et al.
Published: (2024)
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)
by: Xing, Haibo, et al.
Published: (2025)
Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking
by: Chen, Haodong, et al.
Published: (2026)
by: Chen, Haodong, et al.
Published: (2026)
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
by: Wang, Guoquan, et al.
Published: (2025)
by: Wang, Guoquan, et al.
Published: (2025)
From Internet of Things Data to Business Processes: Challenges and a Framework
by: Mangler, Juergen, et al.
Published: (2024)
by: Mangler, Juergen, et al.
Published: (2024)
BoomHQ: Learning to Boost Multiple Hybrid Queries on Vector DBMSs
by: Qiu, Ermu, et al.
Published: (2026)
by: Qiu, Ermu, et al.
Published: (2026)
Fine-Grained Emotion Recognition via In-Context Learning
by: Ren, Zhaochun, et al.
Published: (2025)
by: Ren, Zhaochun, et al.
Published: (2025)
Enhancing Relevance of Embedding-based Retrieval at Walmart
by: Lin, Juexin, et al.
Published: (2024)
by: Lin, Juexin, et al.
Published: (2024)
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
by: Deng, Hao, et al.
Published: (2025)
by: Deng, Hao, et al.
Published: (2025)
Comprehensive List Generation for Multi-Generator Reranking
by: Yang, Hailan, et al.
Published: (2025)
by: Yang, Hailan, et al.
Published: (2025)
Multi-Tower Multi-Interest Recommendation with User Representation Repel
by: Xiong, Tianyu, et al.
Published: (2024)
by: Xiong, Tianyu, et al.
Published: (2024)
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
by: Luo, Yunze, et al.
Published: (2024)
by: Luo, Yunze, et al.
Published: (2024)
Cluster-based Graph Collaborative Filtering
by: Liu, Fan, et al.
Published: (2024)
by: Liu, Fan, et al.
Published: (2024)
QuIVer: Rethinking ANN Graph Topology via Training-Free Binary Quantization
by: Xiao, Wenxuan, et al.
Published: (2026)
by: Xiao, Wenxuan, et al.
Published: (2026)
SNAPPY CubeSat Control Script Generation and Data File Processing
by: Bierens, Edward, et al.
Published: (2026)
by: Bierens, Edward, et al.
Published: (2026)
Memory Based Collaborative Filtering with Lucene
by: Gennaro, Claudio
Published: (2016)
by: Gennaro, Claudio
Published: (2016)
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
by: Bai, Yimeng, et al.
Published: (2025)
by: Bai, Yimeng, et al.
Published: (2025)
The hunt for research data: Development of an open-source workflow for tracking institutionally-affiliated research data publications
by: Gee, Bryan M.
Published: (2025)
by: Gee, Bryan M.
Published: (2025)
LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
by: Takehi, Rikiya, et al.
Published: (2024)
by: Takehi, Rikiya, et al.
Published: (2024)
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
by: Bai, Yimeng, et al.
Published: (2023)
by: Bai, Yimeng, et al.
Published: (2023)
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting
by: Bai, Yimeng, et al.
Published: (2024)
by: Bai, Yimeng, et al.
Published: (2024)
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
by: Liu, Fan, et al.
Published: (2023)
by: Liu, Fan, et al.
Published: (2023)
Similar Items
-
Evaluating Contrastive Feedback for Effective User Simulations
by: Kruff, Andreas Konstantin, et al.
Published: (2025) -
Enhancing Music Recommendation with User Mood Input
by: Zeng, Terence
Published: (2026) -
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
by: Ma, Chenglong, et al.
Published: (2025) -
Context-Aware Lifelong Sequential Modeling for Online Click-Through Rate Prediction
by: Guo, Ting, et al.
Published: (2025) -
Value Function Decomposition in Markov Recommendation Process
by: Wang, Xiaobei, et al.
Published: (2025)