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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

Web Search and Data Mining (WSDM), 2020

13 December 2020

Kai Zhang

Qi Liu

Enhong Chen

Papers citing "Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction"

8 / 8 papers shown

AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System

415

28 Jan 2025

PPM : A Pre-trained Plug-in Model for Click-through Rate PredictionThe Web Conference (WWW), 2024

193

15 Mar 2024

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking

Yang Yu

Qi Liu

Kai Zhang

233

15 Oct 2023

FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems

181

26 Sep 2022

Triangle Graph Interest Network for Click-through Rate PredictionWeb Search and Data Mining (WSDM), 2022

156

06 Feb 2022

Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced RecommendationThe Web Conference (WWW), 2022

Jing Zhang

211

05 Feb 2022

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation

Kai Zhang

Qi Liu

Enhong Chen

147

18 Aug 2021

FINT: Field-aware INTeraction Neural Network For CTR Prediction

286

05 Jul 2021