Copertina

Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Song, Xin, Li, Kaiyuan, Hu, Jinxin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
di: Liu, Yuanxing, et al.
Pubblicazione: (2023)

LLM-based Semantic Search for Conversational Queries in E-commerce
di: Siddiqui, Emad, et al.
Pubblicazione: (2026)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
di: Huang, Yulei, et al.
Pubblicazione: (2026)

A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce
di: Liu, Jinhan, et al.
Pubblicazione: (2024)

Relevance Matters: A Multi-Task and Multi-Stage Large Language Model Approach for E-commerce Query Rewriting
di: Dai, Aijun, et al.
Pubblicazione: (2026)

LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
di: Song, Xin, et al.
Pubblicazione: (2025)

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval
di: Freymuth, Niklas, et al.
Pubblicazione: (2025)

Turning Noise into Value: Uncovering Service Preferences from Ambiguous Interaction in E-commerce
di: Li, Cheng, et al.
Pubblicazione: (2025)

Factorized Transport Alignment for Multimodal and Multiview E-commerce Representation Learning
di: Chen, Xiwen, et al.
Pubblicazione: (2025)

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
di: Zhang, Moyu, et al.
Pubblicazione: (2025)

Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
di: Zhang, Ziqi, et al.
Pubblicazione: (2024)

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce
di: Xu, Wei, et al.
Pubblicazione: (2024)

Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning
di: Xu, Kangming, et al.
Pubblicazione: (2024)

Improving Conversational Recommendation Systems via Counterfactual Data Simulation
di: Wang, Xiaolei, et al.
Pubblicazione: (2023)

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
di: Liu, Zhiding, et al.
Pubblicazione: (2025)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
di: Wang, Zhefan, et al.
Pubblicazione: (2024)

AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
di: Zhang, Biao, et al.
Pubblicazione: (2026)

OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
di: Hao, Xuegang, et al.
Pubblicazione: (2025)

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
di: Xu, Tingqiao, et al.
Pubblicazione: (2025)

Taxonomy-based Negative Sampling In Personalized Semantic Search for E-commerce
di: Jinadu, Uthman, et al.
Pubblicazione: (2025)

Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
di: Kim, Tongyoung, et al.
Pubblicazione: (2025)

Hierarchical Query Classification in E-commerce Search
di: He, Bing, et al.
Pubblicazione: (2024)

Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
di: Xu, Enqiang, et al.
Pubblicazione: (2024)

CAT-ID$^2$: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
di: Liu, Xiaoyu, et al.
Pubblicazione: (2025)

Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
di: Yang, Chaohua, et al.
Pubblicazione: (2025)

A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
di: Wang, Huimu, et al.
Pubblicazione: (2024)

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion
di: Guo, Xian, et al.
Pubblicazione: (2025)

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
di: Wang, Hongru, et al.
Pubblicazione: (2024)

Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
di: Liu, Zhenhui, et al.
Pubblicazione: (2025)

Segment Discovery: Enhancing E-commerce Targeting
di: Li, Qiqi, et al.
Pubblicazione: (2024)

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
di: Zhang, Yansen, et al.
Pubblicazione: (2025)

Behavioral Feature Boosting via Substitute Relationships for E-commerce Search
di: Dong, Chaosheng, et al.
Pubblicazione: (2026)

Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce
di: Czapp, Ádám Tibor, et al.
Pubblicazione: (2024)

Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search
di: Zhou, Zhigong, et al.
Pubblicazione: (2025)

Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System
di: Malinowski, Michał
Pubblicazione: (2024)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
di: Hu, Wenbo, et al.
Pubblicazione: (2023)

MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce
di: Jiang, Hao, et al.
Pubblicazione: (2024)

MOHPER: Multi-objective Hyperparameter Optimization Framework for E-commerce Retrieval System
di: Park, Jungbae, et al.
Pubblicazione: (2025)

Towards Two-Stage Counterfactual Learning to Rank
di: Gupta, Shashank, et al.
Pubblicazione: (2025)

Efficient Multi-task Prompt Tuning for Recommendation
di: Bai, Ting, et al.
Pubblicazione: (2024)