Saved in:
| Main Author: | Zhou, Junjie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.18961 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
by: Lin, Jianghao, et al.
Published: (2023)
by: Lin, Jianghao, et al.
Published: (2023)
Explainable CTR Prediction via LLM Reasoning
by: Yu, Xiaohan, et al.
Published: (2024)
by: Yu, Xiaohan, et al.
Published: (2024)
RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
by: Tong, Ziye, et al.
Published: (2026)
by: Tong, Ziye, et al.
Published: (2026)
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
by: Geng, Binzong, et al.
Published: (2024)
by: Geng, Binzong, et al.
Published: (2024)
Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
by: Cui, Yu, et al.
Published: (2025)
by: Cui, Yu, et al.
Published: (2025)
RIA: A Ranking-Infused Approach for Optimized listwise CTR Prediction
by: Zhang, Guoxiao, et al.
Published: (2025)
by: Zhang, Guoxiao, et al.
Published: (2025)
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
by: Liu, Qi, et al.
Published: (2023)
by: Liu, Qi, et al.
Published: (2023)
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
by: Shi, Yunxiao, et al.
Published: (2024)
by: Shi, Yunxiao, et al.
Published: (2024)
HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
by: Chen, Shuwei, et al.
Published: (2025)
by: Chen, Shuwei, et al.
Published: (2025)
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
by: Chen, Rong, et al.
Published: (2025)
by: Chen, Rong, et al.
Published: (2025)
DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation
by: Lv, Zhihao, et al.
Published: (2026)
by: Lv, Zhihao, et al.
Published: (2026)
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction
by: Xu, Han, et al.
Published: (2024)
by: Xu, Han, et al.
Published: (2024)
Disentangled Interest Network for Out-of-Distribution CTR Prediction
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization
by: Yaggel, Ken, et al.
Published: (2025)
by: Yaggel, Ken, et al.
Published: (2025)
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
by: Wang, Yuening, et al.
Published: (2024)
by: Wang, Yuening, et al.
Published: (2024)
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
by: Wang, Hangyu, et al.
Published: (2023)
by: Wang, Hangyu, et al.
Published: (2023)
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
by: Si, Zihua, et al.
Published: (2024)
by: Si, Zihua, et al.
Published: (2024)
Feature Interaction Fusion Self-Distillation Network For CTR Prediction
by: Sang, Lei, et al.
Published: (2024)
by: Sang, Lei, et al.
Published: (2024)
Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models
by: Zhou, Yizhi, et al.
Published: (2026)
by: Zhou, Yizhi, et al.
Published: (2026)
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
by: Huang, Yunwen, et al.
Published: (2026)
by: Huang, Yunwen, et al.
Published: (2026)
Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)
by: Zeng, Zhichen, et al.
Published: (2025)
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
by: Zhang, Kexin, et al.
Published: (2024)
by: Zhang, Kexin, et al.
Published: (2024)
PRECTR-V2:Unified Relevance-CTR Framework with Cross-User Preference Mining, Exposure Bias Correction, and LLM-Distilled Encoder Optimization
by: Cao, Shuzhi, et al.
Published: (2026)
by: Cao, Shuzhi, et al.
Published: (2026)
Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion
by: Janjani, Pranav, et al.
Published: (2024)
by: Janjani, Pranav, et al.
Published: (2024)
UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion
by: Liang, Zihan, et al.
Published: (2025)
by: Liang, Zihan, et al.
Published: (2025)
S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
by: Li, Minghan, et al.
Published: (2026)
by: Li, Minghan, et al.
Published: (2026)
ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model
by: Qin, Zezheng
Published: (2024)
by: Qin, Zezheng
Published: (2024)
Distribution-Aware End-to-End Embedding for Streaming Numerical Features in Click-Through Rate Prediction
by: Liu, Jiahao, et al.
Published: (2026)
by: Liu, Jiahao, et al.
Published: (2026)
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
by: Aksu, Dogukan, et al.
Published: (2024)
by: Aksu, Dogukan, et al.
Published: (2024)
IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization
by: Zhou, Heyang, et al.
Published: (2026)
by: Zhou, Heyang, et al.
Published: (2026)
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
by: Li, Wenhao, et al.
Published: (2024)
by: Li, Wenhao, et al.
Published: (2024)
Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
by: Zerkouk, Meriem, et al.
Published: (2025)
by: Zerkouk, Meriem, et al.
Published: (2025)
Revisiting Self-attention for Cross-domain Sequential Recommendation
by: Ju, Clark Mingxuan, et al.
Published: (2025)
by: Ju, Clark Mingxuan, et al.
Published: (2025)
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
by: Xia, Linhan, et al.
Published: (2024)
by: Xia, Linhan, et al.
Published: (2024)
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
by: Yang, Chen, et al.
Published: (2024)
by: Yang, Chen, et al.
Published: (2024)
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
by: Wang, Yaqing, et al.
Published: (2024)
by: Wang, Yaqing, et al.
Published: (2024)
EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)
by: Zhang, Xiaoxiong, et al.
Published: (2025)
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
by: Lin, Guojiao, et al.
Published: (2024)
by: Lin, Guojiao, et al.
Published: (2024)
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
by: Bai, Haoyue, et al.
Published: (2024)
by: Bai, Haoyue, et al.
Published: (2024)
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
by: Wang, Hui, et al.
Published: (2025)
by: Wang, Hui, et al.
Published: (2025)
Similar Items
-
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
by: Lin, Jianghao, et al.
Published: (2023) -
Explainable CTR Prediction via LLM Reasoning
by: Yu, Xiaohan, et al.
Published: (2024) -
RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
by: Tong, Ziye, et al.
Published: (2026) -
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
by: Geng, Binzong, et al.
Published: (2024) -
Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
by: Cui, Yu, et al.
Published: (2025)