Saved in:
| Main Authors: | Wang, Lei, Wu, Jinhang, Wang, Zhibin, Li, Biye |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.05513 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Model based Long-tail Query Rewriting in Taobao Search
by: Peng, Wenjun, et al.
Published: (2023)
by: Peng, Wenjun, et al.
Published: (2023)
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
by: Ma, Yingcai, et al.
Published: (2024)
by: Ma, Yingcai, et al.
Published: (2024)
Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
by: Liu, Xingxian, et al.
Published: (2025)
by: Liu, Xingxian, et al.
Published: (2025)
RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
by: Zhang, Bin, et al.
Published: (2026)
by: Zhang, Bin, et al.
Published: (2026)
KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
by: Sun, Zhi, et al.
Published: (2026)
by: Sun, Zhi, et al.
Published: (2026)
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
by: Sheng, Xiang-Rong, et al.
Published: (2024)
by: Sheng, Xiang-Rong, et al.
Published: (2024)
A Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)
by: Wu, Jiayi, et al.
Published: (2026)
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
by: Meng, Yue, et al.
Published: (2025)
by: Meng, Yue, et al.
Published: (2025)
Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao
by: Chen, Xu, et al.
Published: (2024)
by: Chen, Xu, et al.
Published: (2024)
Repeated Padding+: Simple yet Effective Data Augmentation Plugin for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2024)
by: Dang, Yizhou, et al.
Published: (2024)
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
by: Yang, Ke, et al.
Published: (2026)
by: Yang, Ke, et al.
Published: (2026)
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
by: Zhang, Sheng, et al.
Published: (2026)
by: Zhang, Sheng, et al.
Published: (2026)
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
by: Zhao, Yuyue, et al.
Published: (2024)
by: Zhao, Yuyue, et al.
Published: (2024)
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
by: Ruan, Jiancheng, et al.
Published: (2025)
by: Ruan, Jiancheng, et al.
Published: (2025)
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
by: Li, Fengxin, et al.
Published: (2024)
by: Li, Fengxin, et al.
Published: (2024)
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
by: Zhou, Tianshuo, et al.
Published: (2023)
by: Zhou, Tianshuo, et al.
Published: (2023)
Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective
by: Wang, Yubo, et al.
Published: (2025)
by: Wang, Yubo, et al.
Published: (2025)
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
by: Ye, Wencai, et al.
Published: (2025)
by: Ye, Wencai, et al.
Published: (2025)
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
GPR: Empowering Generation with Graph-Pretrained Retriever
by: Wang, Xiaochen, et al.
Published: (2025)
by: Wang, Xiaochen, et al.
Published: (2025)
AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
by: Wu, Liwei, et al.
Published: (2026)
by: Wu, Liwei, et al.
Published: (2026)
LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models
by: Yan, Yang, et al.
Published: (2024)
by: Yan, Yang, et al.
Published: (2024)
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning
by: Yang, Yonghui, et al.
Published: (2025)
by: Yang, Yonghui, et al.
Published: (2025)
A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives
by: Li, Pengyue, et al.
Published: (2025)
by: Li, Pengyue, et al.
Published: (2025)
Multiple Index Merge for Approximate Nearest Neighbor Search
by: Jing, Liuchang, et al.
Published: (2026)
by: Jing, Liuchang, et al.
Published: (2026)
Quake: Adaptive Indexing for Vector Search
by: Mohoney, Jason, et al.
Published: (2025)
by: Mohoney, Jason, et al.
Published: (2025)
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)
by: Wu, Tongzhou, et al.
Published: (2025)
A Comparative Study of Retrieval Methods in Azure AI Search
by: Mao, Qiang, et al.
Published: (2025)
by: Mao, Qiang, et al.
Published: (2025)
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
by: Zhang, Wenlin, et al.
Published: (2026)
by: Zhang, Wenlin, et al.
Published: (2026)
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
by: Zhang, Yingyi, et al.
Published: (2026)
by: Zhang, Yingyi, et al.
Published: (2026)
Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)
by: Wu, Jiayi, et al.
Published: (2026)
Navigating the Shift: A Comparative Analysis of Web Search and Generative AI Response Generation
by: Chen, Mahe, et al.
Published: (2026)
by: Chen, Mahe, et al.
Published: (2026)
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search
by: Javadi, Farnoosh, et al.
Published: (2024)
by: Javadi, Farnoosh, et al.
Published: (2024)
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
by: Cui, Yu, et al.
Published: (2024)
by: Cui, Yu, et al.
Published: (2024)
EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
by: Li, Minghan, et al.
Published: (2024)
by: Li, Minghan, et al.
Published: (2024)
Domain-Adaptive Dense Retrieval for Brazilian Legal Search
by: Pereira, Jayr, et al.
Published: (2026)
by: Pereira, Jayr, et al.
Published: (2026)
Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
by: Liu, Tongtong, et al.
Published: (2025)
by: Liu, Tongtong, et al.
Published: (2025)
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)
Towards AI Search Paradigm
by: Li, Yuchen, et al.
Published: (2025)
by: Li, Yuchen, et al.
Published: (2025)
Similar Items
-
Large Language Model based Long-tail Query Rewriting in Taobao Search
by: Peng, Wenjun, et al.
Published: (2023) -
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
by: Ma, Yingcai, et al.
Published: (2024) -
Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
by: Liu, Xingxian, et al.
Published: (2025) -
RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
by: Zhang, Bin, et al.
Published: (2026) -
KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
by: Sun, Zhi, et al.
Published: (2026)