Copertina

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sheng, Xiang-Rong, Yang, Feifan, Gong, Litong, Wang, Biao, Chan, Zhangming, Zhang, Yujing, Cheng, Yueyao, Zhu, Yong-Nan, Ge, Tiezheng, Zhu, Han, Jiang, Yuning, Xu, Jian, Zheng, Bo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling
di: Wu, Bin, et al.
Pubblicazione: (2025)

EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling
di: Liu, Mingyang, et al.
Pubblicazione: (2026)

Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
di: Ma, Yingcai, et al.
Pubblicazione: (2024)

RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
di: Zhang, Bin, et al.
Pubblicazione: (2026)

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
di: Chen, Sishuo, et al.
Pubblicazione: (2025)

KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
di: Sun, Zhi, et al.
Pubblicazione: (2026)

LEAPS: An LLM-Empowered Adaptive Plugin in Taobao AI Search
di: Wang, Lei, et al.
Pubblicazione: (2026)

Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao
di: Chen, Xu, et al.
Pubblicazione: (2024)

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
di: Li, Fengxin, et al.
Pubblicazione: (2024)

AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking
di: Kou, Zhi, et al.
Pubblicazione: (2025)

Large Language Model based Long-tail Query Rewriting in Taobao Search
di: Peng, Wenjun, et al.
Pubblicazione: (2023)

A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
di: Meng, Yue, et al.
Pubblicazione: (2025)

Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
di: Liu, Xingxian, et al.
Pubblicazione: (2025)

MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising
di: Fu, Chenghan, et al.
Pubblicazione: (2025)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
di: Yang, Yang, et al.
Pubblicazione: (2024)

SUMMA: A Multimodal Large Language Model for Advertisement Summarization
di: Jia, Weitao, et al.
Pubblicazione: (2025)

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation
di: Pan, Junwei, et al.
Pubblicazione: (2026)

Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models
di: Eghbalzadeh, Hamid, et al.
Pubblicazione: (2024)

Detecting RAG Advertisements Across Advertising Styles
di: Heineking, Sebastian, et al.
Pubblicazione: (2026)

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems
di: Chen, Jin, et al.
Pubblicazione: (2026)

Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs
di: Gangopadhyay, Briti, et al.
Pubblicazione: (2025)

EGA-V1: Unifying Online Advertising with End-to-End Learning
di: Qiu, Junyan, et al.
Pubblicazione: (2025)

DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking
di: Zhang, Litong, et al.
Pubblicazione: (2026)

DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries
di: Lou, Jiahao, et al.
Pubblicazione: (2025)

Fine-grained Semantics Integration for Large Language Model-based Recommendation
di: Feng, Jiawei, et al.
Pubblicazione: (2026)

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
di: Liu, Bin, et al.
Pubblicazione: (2025)

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
di: Zhang, Kangning, et al.
Pubblicazione: (2024)

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation
di: Guo, Yufei, et al.
Pubblicazione: (2026)

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization
di: Chen, Yanda, et al.
Pubblicazione: (2025)

Boosting Text-to-Chart Retrieval through Training with Synthesized Semantic Insights
di: Wu, Yifan, et al.
Pubblicazione: (2025)

Hierarchical Masked 3D Diffusion Model for Video Outpainting
di: Fan, Fanda, et al.
Pubblicazione: (2023)

AtomoVideo: High Fidelity Image-to-Video Generation
di: Gong, Litong, et al.
Pubblicazione: (2024)

Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation
di: Li, Weijie, et al.
Pubblicazione: (2024)

NextAds: Towards Next-generation Personalized Video Advertising
di: Xu, Yiyan, et al.
Pubblicazione: (2026)

Scaling Laws for Online Advertisement Retrieval
di: Wang, Yunli, et al.
Pubblicazione: (2024)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
di: Zhang, Kangning, et al.
Pubblicazione: (2024)

Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform
di: Lu, Sheng, et al.
Pubblicazione: (2025)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
di: Fu, Junchen, et al.
Pubblicazione: (2025)

Unified Value Alignment for Generative Recommendation in Industrial Advertising
di: Zhang, Xinxun, et al.
Pubblicazione: (2026)

Practice on Long Behavior Sequence Modeling in Tencent Advertising
di: Hu, Xian, et al.
Pubblicazione: (2025)