OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
Fuente:
arXiv
Guardado en:
| Autores principales: | Weng, Yunpeng, Tang, Xing, Xu, Zhenhao, Lyu, Fuyuan, Liu, Dugang, Sun, Zexu, He, Xiuqiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
por: Tang, Xing, et al.
Publicado: (2025)
por: Tang, Xing, et al.
Publicado: (2025)
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
por: Weng, Yunpeng, et al.
Publicado: (2024)
por: Weng, Yunpeng, et al.
Publicado: (2024)
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
por: Sun, Zexu, et al.
Publicado: (2024)
por: Sun, Zexu, et al.
Publicado: (2024)
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
por: Cui, Ziqiang, et al.
Publicado: (2024)
por: Cui, Ziqiang, et al.
Publicado: (2024)
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
por: Tang, Xing, et al.
Publicado: (2024)
por: Tang, Xing, et al.
Publicado: (2024)
Optimizing Feature Set for Click-Through Rate Prediction
por: Lyu, Fuyuan, et al.
Publicado: (2023)
por: Lyu, Fuyuan, et al.
Publicado: (2023)
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
por: Zhang, Kexin, et al.
Publicado: (2024)
por: Zhang, Kexin, et al.
Publicado: (2024)
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
por: Zhang, Jun, et al.
Publicado: (2026)
por: Zhang, Jun, et al.
Publicado: (2026)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
por: Tang, Xing, et al.
Publicado: (2026)
por: Tang, Xing, et al.
Publicado: (2026)
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
por: Lyu, Fuyuan, et al.
Publicado: (2025)
por: Lyu, Fuyuan, et al.
Publicado: (2025)
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA
por: Tang, Xing, et al.
Publicado: (2026)
por: Tang, Xing, et al.
Publicado: (2026)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
por: Cui, Ziqiang, et al.
Publicado: (2025)
por: Cui, Ziqiang, et al.
Publicado: (2025)
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
por: Yang, Chaohua, et al.
Publicado: (2025)
por: Yang, Chaohua, et al.
Publicado: (2025)
Give Users the Wheel: Towards Promptable Recommendation Paradigm
por: Lyu, Fuyuan, et al.
Publicado: (2026)
por: Lyu, Fuyuan, et al.
Publicado: (2026)
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
por: Li, Guorui, et al.
Publicado: (2026)
por: Li, Guorui, et al.
Publicado: (2026)
Mobile Gamer Lifetime Value Prediction via Objective Decomposition and Reconstruction
por: Li, Tianwei, et al.
Publicado: (2025)
por: Li, Tianwei, et al.
Publicado: (2025)
Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
por: Sun, Zexu, et al.
Publicado: (2025)
por: Sun, Zexu, et al.
Publicado: (2025)
SHORE: A Long-term User Lifetime Value Prediction Model in Digital Games
por: Yuan, Congde
Publicado: (2025)
por: Yuan, Congde
Publicado: (2025)
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
por: Tang, Jiakai, et al.
Publicado: (2024)
por: Tang, Jiakai, et al.
Publicado: (2024)
Result Diversification in Search and Recommendation: A Survey
por: Wu, Haolun, et al.
Publicado: (2022)
por: Wu, Haolun, et al.
Publicado: (2022)
Open Benchmarking for Click-Through Rate Prediction
por: Zhu, Jieming, et al.
Publicado: (2020)
por: Zhu, Jieming, et al.
Publicado: (2020)
SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests
por: Zhou, Wei, et al.
Publicado: (2026)
por: Zhou, Wei, et al.
Publicado: (2026)
Mixed-Precision Embeddings for Large-Scale Recommendation Models
por: Li, Shiwei, et al.
Publicado: (2024)
por: Li, Shiwei, et al.
Publicado: (2024)
Enhancing guidance for missing data in diffusion-based sequential recommendation
por: Yan, Qilong, et al.
Publicado: (2026)
por: Yan, Qilong, et al.
Publicado: (2026)
PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
por: Zhou, Wei, et al.
Publicado: (2026)
por: Zhou, Wei, et al.
Publicado: (2026)
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
por: Zhang, Yansen, et al.
Publicado: (2025)
por: Zhang, Yansen, et al.
Publicado: (2025)
DistRAG: Towards Distance-Based Spatial Reasoning in LLMs
por: Schneider, Nicole R, et al.
Publicado: (2025)
por: Schneider, Nicole R, et al.
Publicado: (2025)
DistDNAS: Search Efficient Feature Interactions within 2 Hours
por: Zhang, Tunhou, et al.
Publicado: (2023)
por: Zhang, Tunhou, et al.
Publicado: (2023)
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
por: Bao, Keqin, et al.
Publicado: (2024)
por: Bao, Keqin, et al.
Publicado: (2024)
Turning Noise into Value: Uncovering Service Preferences from Ambiguous Interaction in E-commerce
por: Li, Cheng, et al.
Publicado: (2025)
por: Li, Cheng, et al.
Publicado: (2025)
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search
por: Qin, Weicong, et al.
Publicado: (2025)
por: Qin, Weicong, et al.
Publicado: (2025)
Latent Customer Segmentation and Value-Based Recommendation Leveraging a Two-Stage Model with Missing Labels
por: Gopalakrishnan, Keerthi, et al.
Publicado: (2026)
por: Gopalakrishnan, Keerthi, et al.
Publicado: (2026)
A Long-term Value Prediction Framework In Video Ranking
por: Chen, Huabin, et al.
Publicado: (2026)
por: Chen, Huabin, et al.
Publicado: (2026)
Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction
por: Lyu, Dingyang, et al.
Publicado: (2026)
por: Lyu, Dingyang, et al.
Publicado: (2026)
A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
por: Liu, Dugang, et al.
Publicado: (2024)
por: Liu, Dugang, et al.
Publicado: (2024)
Adversarial Alignment and Disentanglement for Cross-Domain CTR Prediction with Domain-Encompassing Features
por: He, Junyou, et al.
Publicado: (2026)
por: He, Junyou, et al.
Publicado: (2026)
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
por: Li, Lei, et al.
Publicado: (2023)
por: Li, Lei, et al.
Publicado: (2023)
MDF: A Dynamic Fusion Model for Multi-modal Fake News Detection
por: Lv, Hongzhen, et al.
Publicado: (2024)
por: Lv, Hongzhen, et al.
Publicado: (2024)
HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback
por: Cai, Xufeng, et al.
Publicado: (2025)
por: Cai, Xufeng, et al.
Publicado: (2025)
RosePO: Aligning LLM-based Recommenders with Human Values
por: Liao, Jiayi, et al.
Publicado: (2024)
por: Liao, Jiayi, et al.
Publicado: (2024)
Ejemplares similares
-
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
por: Tang, Xing, et al.
Publicado: (2025) -
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
por: Weng, Yunpeng, et al.
Publicado: (2024) -
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
por: Sun, Zexu, et al.
Publicado: (2024) -
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
por: Cui, Ziqiang, et al.
Publicado: (2024) -
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
por: Tang, Xing, et al.
Publicado: (2024)