Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Luming, Xi, Jiaqi, Saboo, Raghav, Chi, Kenny, Wang, Martin, Das, Sudeep, Nightingale, Danny, Dodda, Aditya, Winer, Elyse, Viswanathan, Akshad |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
by: Xi, Jiaqi, et al.
Published: (2026)
by: Xi, Jiaqi, et al.
Published: (2026)
Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling
by: Desai, Shasvat, et al.
Published: (2026)
by: Desai, Shasvat, et al.
Published: (2026)
KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
by: Li, Yupeng, et al.
Published: (2026)
by: Li, Yupeng, et al.
Published: (2026)
Unified Learning-to-Rank for Multi-Channel Retrieval in Large-Scale E-Commerce Search
by: Gaydhani, Aditya, et al.
Published: (2026)
by: Gaydhani, Aditya, et al.
Published: (2026)
A Data-Centric Approach to Multilingual E-Commerce Product Search: Case Study on Query-Category and Query-Item Relevance
by: Yin, Yabo, et al.
Published: (2025)
by: Yin, Yabo, et al.
Published: (2025)
Towards Robustness Analysis of E-Commerce Ranking System
by: Wang, Ningfei, et al.
Published: (2024)
by: Wang, Ningfei, et al.
Published: (2024)
A Case-Driven Multi-Agent Framework for E-Commerce Search Relevance
by: Commerce Search Relevance Team
Published: (2026)
by: Commerce Search Relevance Team
Published: (2026)
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce
by: Lin, Zhe, et al.
Published: (2024)
by: Lin, Zhe, et al.
Published: (2024)
Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study
by: Boateng, Emmanuel Aboah, et al.
Published: (2026)
by: Boateng, Emmanuel Aboah, et al.
Published: (2026)
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
by: Chen, Ben, et al.
Published: (2024)
by: Chen, Ben, et al.
Published: (2024)
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search
by: Xu, Enqiang, et al.
Published: (2024)
by: Xu, Enqiang, et al.
Published: (2024)
Balancing Semantic Relevance and Engagement in Related Video Recommendations
by: Jaspal, Amit, et al.
Published: (2025)
by: Jaspal, Amit, et al.
Published: (2025)
Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search
by: Bao, Wentian, et al.
Published: (2024)
by: Bao, Wentian, et al.
Published: (2024)
A Survey on E-Commerce Learning to Rank
by: Kabir, Md. Ahsanul, et al.
Published: (2024)
by: Kabir, Md. Ahsanul, et al.
Published: (2024)
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering
by: Alawwad, Hessa, et al.
Published: (2025)
by: Alawwad, Hessa, et al.
Published: (2025)
Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models
by: Iturra-Bocaz, Gabriel, et al.
Published: (2025)
by: Iturra-Bocaz, Gabriel, et al.
Published: (2025)
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
by: Korikov, Anton, et al.
Published: (2025)
by: Korikov, Anton, et al.
Published: (2025)
Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning
by: Zhao, Gang, et al.
Published: (2024)
by: Zhao, Gang, et al.
Published: (2024)
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
by: Wang, Pinhuan, et al.
Published: (2025)
by: Wang, Pinhuan, et al.
Published: (2025)
OrdRankBen: A Novel Ranking Benchmark for Ordinal Relevance in NLP
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
Behavior Modeling Space Reconstruction for E-Commerce Search
by: Wang, Yejing, et al.
Published: (2025)
by: Wang, Yejing, et al.
Published: (2025)
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
by: Yan, Le, et al.
Published: (2024)
by: Yan, Le, et al.
Published: (2024)
Meta Learning to Rank for Sparsely Supervised Queries
by: Wu, Xuyang, et al.
Published: (2024)
by: Wu, Xuyang, et al.
Published: (2024)
GenFacet: End-to-End Generative Faceted Search via Multi-Task Preference Alignment in E-Commerce
by: Zhai, Zhouwei, et al.
Published: (2026)
by: Zhai, Zhouwei, et al.
Published: (2026)
Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval
by: Zhang, Dun
Published: (2026)
by: Zhang, Dun
Published: (2026)
JointRank: Rank Large Set with Single Pass
by: Dedov, Evgeny
Published: (2025)
by: Dedov, Evgeny
Published: (2025)
Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
by: Yu, Lulu, et al.
Published: (2025)
by: Yu, Lulu, et al.
Published: (2025)
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
by: Wang, Yuan, et al.
Published: (2024)
by: Wang, Yuan, et al.
Published: (2024)
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search
by: Zeng, Ziyang, et al.
Published: (2025)
by: Zeng, Ziyang, et al.
Published: (2025)
Optimizing Keyphrase Ranking for Relevance and Diversity Using Submodular Function Optimization (SFO)
by: Umair, Muhammad, et al.
Published: (2024)
by: Umair, Muhammad, et al.
Published: (2024)
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023
by: Parry, Andrew, et al.
Published: (2024)
by: Parry, Andrew, et al.
Published: (2024)
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems
by: Durmus, Furkan, et al.
Published: (2024)
by: Durmus, Furkan, et al.
Published: (2024)
Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank
by: Lutz, Yunus, et al.
Published: (2025)
by: Lutz, Yunus, et al.
Published: (2025)
REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
by: Chatterjee, Shubham
Published: (2025)
by: Chatterjee, Shubham
Published: (2025)
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
by: Li, Minghan, et al.
Published: (2024)
by: Li, Minghan, et al.
Published: (2024)
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)
by: Liu, Wenhan, et al.
Published: (2024)
Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine
by: Padalkar, Unmesh
Published: (2026)
by: Padalkar, Unmesh
Published: (2026)
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
by: Zhang, Jiang, et al.
Published: (2025)
by: Zhang, Jiang, et al.
Published: (2025)
Similar Items
-
Mine and Refine: Optimizing Graded Relevance in E-commerce Search Retrieval
by: Xi, Jiaqi, et al.
Published: (2026) -
Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling
by: Desai, Shasvat, et al.
Published: (2026) -
KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
by: Li, Yupeng, et al.
Published: (2026) -
Unified Learning-to-Rank for Multi-Channel Retrieval in Large-Scale E-Commerce Search
by: Gaydhani, Aditya, et al.
Published: (2026) -
A Data-Centric Approach to Multilingual E-Commerce Product Search: Case Study on Query-Category and Query-Item Relevance
by: Yin, Yabo, et al.
Published: (2025)