LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction

Documenti analoghi

• ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
  di: Lin, Jianghao, et al.
  Pubblicazione: (2023)
• From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction
  di: Yan, Bencheng, et al.
  Pubblicazione: (2025)
• Parallel Latent Reasoning for Sequential Recommendation
  di: Tang, Jiakai, et al.
  Pubblicazione: (2026)
• DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
  di: Zhang, Moyu, et al.
  Pubblicazione: (2025)
• Deep Situation-Aware Interaction Network for Click-Through Rate Prediction
  di: Lv, Yimin, et al.
  Pubblicazione: (2026)