Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Yuening, Chen, Man, Hu, Yaochen, Guo, Wei, Zhang, Yingxue, Guo, Huifeng, Liu, Yong, Coates, Mark |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
por: Valkanas, Antonios, et al.
Publicado: (2024)
por: Valkanas, Antonios, et al.
Publicado: (2024)
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
por: Yin, Mingjia, et al.
Publicado: (2024)
por: Yin, Mingjia, et al.
Publicado: (2024)
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
por: Lin, Jianghao, et al.
Publicado: (2023)
por: Lin, Jianghao, et al.
Publicado: (2023)
Enhancing and Scaling Search Query Datasets for Recommendation Systems
por: Rodrigues, Aaron, et al.
Publicado: (2025)
por: Rodrigues, Aaron, et al.
Publicado: (2025)
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
por: Chen, Rong, et al.
Publicado: (2025)
por: Chen, Rong, et al.
Publicado: (2025)
DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation
por: Lv, Zhihao, et al.
Publicado: (2026)
por: Lv, Zhihao, et al.
Publicado: (2026)
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
por: Geng, Binzong, et al.
Publicado: (2024)
por: Geng, Binzong, et al.
Publicado: (2024)
Explainable CTR Prediction via LLM Reasoning
por: Yu, Xiaohan, et al.
Publicado: (2024)
por: Yu, Xiaohan, et al.
Publicado: (2024)
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
por: Wang, Yuhao, et al.
Publicado: (2024)
por: Wang, Yuhao, et al.
Publicado: (2024)
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization
por: Yaggel, Ken, et al.
Publicado: (2025)
por: Yaggel, Ken, et al.
Publicado: (2025)
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction
por: Xu, Han, et al.
Publicado: (2024)
por: Xu, Han, et al.
Publicado: (2024)
Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
por: Cui, Yu, et al.
Publicado: (2025)
por: Cui, Yu, et al.
Publicado: (2025)
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
por: Liu, Qi, et al.
Publicado: (2023)
por: Liu, Qi, et al.
Publicado: (2023)
Disentangled Interest Network for Out-of-Distribution CTR Prediction
por: Zheng, Yu, et al.
Publicado: (2025)
por: Zheng, Yu, et al.
Publicado: (2025)
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
por: Wang, Hangyu, et al.
Publicado: (2023)
por: Wang, Hangyu, et al.
Publicado: (2023)
How Can Recommender Systems Benefit from Large Language Models: A Survey
por: Lin, Jianghao, et al.
Publicado: (2023)
por: Lin, Jianghao, et al.
Publicado: (2023)
Feature Fusion Revisited: Multimodal CTR Prediction for MMCTR Challenge
por: Zhou, Junjie
Publicado: (2025)
por: Zhou, Junjie
Publicado: (2025)
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
por: Zhu, Zirui, et al.
Publicado: (2024)
por: Zhu, Zirui, et al.
Publicado: (2024)
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
por: Jia, Pengyue, et al.
Publicado: (2024)
por: Jia, Pengyue, et al.
Publicado: (2024)
RIA: A Ranking-Infused Approach for Optimized listwise CTR Prediction
por: Zhang, Guoxiao, et al.
Publicado: (2025)
por: Zhang, Guoxiao, et al.
Publicado: (2025)
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
por: Si, Zihua, et al.
Publicado: (2024)
por: Si, Zihua, et al.
Publicado: (2024)
HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
por: Chen, Shuwei, et al.
Publicado: (2025)
por: Chen, Shuwei, et al.
Publicado: (2025)
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
por: Liu, Qidong, et al.
Publicado: (2025)
por: Liu, Qidong, et al.
Publicado: (2025)
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
por: Yang, Yang, et al.
Publicado: (2024)
por: Yang, Yang, et al.
Publicado: (2024)
RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
por: Tong, Ziye, et al.
Publicado: (2026)
por: Tong, Ziye, et al.
Publicado: (2026)
Conditional Memory Enhanced Item Representation for Generative Recommendation
por: Liu, Ziwei, et al.
Publicado: (2026)
por: Liu, Ziwei, et al.
Publicado: (2026)
E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
por: Zhang, Ge, et al.
Publicado: (2025)
por: Zhang, Ge, et al.
Publicado: (2025)
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
por: Gu, Hongjian, et al.
Publicado: (2023)
por: Gu, Hongjian, et al.
Publicado: (2023)
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
por: Zheng, Carolina, et al.
Publicado: (2025)
por: Zheng, Carolina, et al.
Publicado: (2025)
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
por: Fu, Zichuan, et al.
Publicado: (2023)
por: Fu, Zichuan, et al.
Publicado: (2023)
Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation
por: Wen, Qianfeng, et al.
Publicado: (2024)
por: Wen, Qianfeng, et al.
Publicado: (2024)
MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
por: Guo, Chengcheng, et al.
Publicado: (2025)
por: Guo, Chengcheng, et al.
Publicado: (2025)
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)
Causality Enhancement for Cross-Domain Recommendation
por: Wu, Zhibo, et al.
Publicado: (2025)
por: Wu, Zhibo, et al.
Publicado: (2025)
Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
por: Zhao, Keyu, et al.
Publicado: (2025)
por: Zhao, Keyu, et al.
Publicado: (2025)
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
por: Zhou, Xiao, et al.
Publicado: (2025)
por: Zhou, Xiao, et al.
Publicado: (2025)
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
por: Wang, Hao, et al.
Publicado: (2024)
por: Wang, Hao, et al.
Publicado: (2024)
AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
por: Shi, Yunxiao, et al.
Publicado: (2026)
por: Shi, Yunxiao, et al.
Publicado: (2026)
Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
por: Guo, Xu, et al.
Publicado: (2025)
por: Guo, Xu, et al.
Publicado: (2025)
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
por: Li, Qingyao, et al.
Publicado: (2024)
por: Li, Qingyao, et al.
Publicado: (2024)
Ejemplares similares
-
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
por: Valkanas, Antonios, et al.
Publicado: (2024) -
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
por: Yin, Mingjia, et al.
Publicado: (2024) -
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
por: Lin, Jianghao, et al.
Publicado: (2023) -
Enhancing and Scaling Search Query Datasets for Recommendation Systems
por: Rodrigues, Aaron, et al.
Publicado: (2025) -
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
por: Chen, Rong, et al.
Publicado: (2025)