Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
Fuente:
arXiv
Saved in:
| Main Authors: | Weng, Yunpeng, Tang, Xing, Chen, Liang, Liu, Dugang, He, Xiuqiang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
by: Tang, Xing, et al.
Published: (2025)
by: Tang, Xing, et al.
Published: (2025)
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)
by: Sun, Zexu, et al.
Published: (2024)
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026)
by: Zhang, Jun, et al.
Published: (2026)
Optimizing Feature Set for Click-Through Rate Prediction
by: Lyu, Fuyuan, et al.
Published: (2023)
by: Lyu, Fuyuan, et al.
Published: (2023)
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
by: Tang, Xing, et al.
Published: (2024)
by: Tang, Xing, et al.
Published: (2024)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
by: Zhang, Kexin, et al.
Published: (2024)
by: Zhang, Kexin, et al.
Published: (2024)
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
by: Yang, Chaohua, et al.
Published: (2025)
by: Yang, Chaohua, et al.
Published: (2025)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)
by: Li, Guorui, et al.
Published: (2026)
Mixed-Precision Embeddings for Large-Scale Recommendation Models
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
by: Lyu, Fuyuan, et al.
Published: (2025)
by: Lyu, Fuyuan, et al.
Published: (2025)
Enhancing guidance for missing data in diffusion-based sequential recommendation
by: Yan, Qilong, et al.
Published: (2026)
by: Yan, Qilong, et al.
Published: (2026)
Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
by: Sun, Zexu, et al.
Published: (2025)
by: Sun, Zexu, et al.
Published: (2025)
SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
by: Zhou, Wei, et al.
Published: (2026)
by: Zhou, Wei, et al.
Published: (2026)
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
by: Li, Lei, et al.
Published: (2023)
by: Li, Lei, et al.
Published: (2023)
A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
by: Liu, Dugang, et al.
Published: (2024)
by: Liu, Dugang, et al.
Published: (2024)
Open Benchmarking for Click-Through Rate Prediction
by: Zhu, Jieming, et al.
Published: (2020)
by: Zhu, Jieming, et al.
Published: (2020)
Give Users the Wheel: Towards Promptable Recommendation Paradigm
by: Lyu, Fuyuan, et al.
Published: (2026)
by: Lyu, Fuyuan, et al.
Published: (2026)
PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
by: Zhou, Wei, et al.
Published: (2026)
by: Zhou, Wei, et al.
Published: (2026)
FinMTEB: Finance Massive Text Embedding Benchmark
by: Tang, Yixuan, et al.
Published: (2025)
by: Tang, Yixuan, et al.
Published: (2025)
Precision Profile Pollution Attack on Sequential Recommenders via Influence Function
by: Du, Xiaoyu, et al.
Published: (2024)
by: Du, Xiaoyu, et al.
Published: (2024)
Turning Noise into Value: Uncovering Service Preferences from Ambiguous Interaction in E-commerce
by: Li, Cheng, et al.
Published: (2025)
by: Li, Cheng, et al.
Published: (2025)
Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded Reasoning
by: Sakhno, Artem, et al.
Published: (2026)
by: Sakhno, Artem, et al.
Published: (2026)
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
by: Li, Shiwei, et al.
Published: (2022)
by: Li, Shiwei, et al.
Published: (2022)
FinMetaMind: A Tech Blueprint on NLQ Systems for Financial Knowledge Search
by: Pant, Lalit, et al.
Published: (2026)
by: Pant, Lalit, et al.
Published: (2026)
FinTechs Playing in the Regulatory Sandbox—The Effect of Interacting Signals on Funding
by: Bastian Kindermann, et al.
Published: (2025)
by: Bastian Kindermann, et al.
Published: (2025)
The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
by: Xu, Chen, et al.
Published: (2026)
by: Xu, Chen, et al.
Published: (2026)
AliBoost: Ecological Boosting Framework in Alibaba Platform
by: Shen, Qijie, et al.
Published: (2025)
by: Shen, Qijie, et al.
Published: (2025)
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
by: Ye, Linhao, et al.
Published: (2025)
by: Ye, Linhao, et al.
Published: (2025)
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search
by: Qin, Weicong, et al.
Published: (2025)
by: Qin, Weicong, et al.
Published: (2025)
FinTech
Published: (2023)
Published: (2023)
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
Beyond Positive History: Re-ranking with List-level Hybrid Feedback
by: Weng, Muyan, et al.
Published: (2024)
by: Weng, Muyan, et al.
Published: (2024)
Long-Term Value of Exploration: Measurements, Findings and Algorithms
by: Su, Yi, et al.
Published: (2023)
by: Su, Yi, et al.
Published: (2023)
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
by: Ebrahimzadeh, Ehsan, et al.
Published: (2024)
by: Ebrahimzadeh, Ehsan, et al.
Published: (2024)
RAG for Geoscience: What We Expect, Gaps and Opportunities
by: Yu, Runlong, et al.
Published: (2025)
by: Yu, Runlong, et al.
Published: (2025)
Similar Items
-
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
by: Tang, Xing, et al.
Published: (2025) -
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024) -
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024) -
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026) -
Optimizing Feature Set for Click-Through Rate Prediction
by: Lyu, Fuyuan, et al.
Published: (2023)