This repository contains a curated list of papers related to click-through-rate (CTR) prediction/online recommendations, which are categorized based on their technical categories and published years.
Continuously updating!
(WWW 2021) FM2: Field-matrixed Factorization Machines for Recommender Systems [Paper] [Code]
(IJCAI 2021) A Dual Input-aware Factorization Machine for CTR Prediction [Paper]
(AAAI 2019) Holographic Factorization Machines for Recommendation [Paper]
(CIKM 2019) Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction [Paper] [Code]
(RecSys 2019) FiBiNET: Combining Feature Importance and Bilinear Feature Interaction for Click-Through Rate Prediction [Paper]
(WWW 2018) Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising [Paper]
(SIGIR 2017) Neural Factorization Machines for Sparse Predictive Analytics [Paper] [Code]
(IJCAI 2017) Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks [Paper] [Code]
(IJCAI 2017) DeepFM: A Factorization-Machine based Neural Network for CTR Prediction [Paper]
(DLRS 2016) Wide & Deep Learning for Recommender Systems [Paper]
(ICDM 2016) Product-based Neural Networks for User Response Prediction [Paper] [Code]
(RecSys 2016) Field-aware Factorization Machines for CTR Prediction [Paper]
(ICDM 2010) Factorization Machines [Paper]
(WWW 2024) Macro Graph Neural Networks for Online Billion-Scale Recommender Systems [Paper] [Code]
(CIKM 2023) Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction [Paper] [Code]
(SIGIR 2022) Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer [Paper] [Code]
(SIGIR 2022) Deep Multi-Representational Item Network for CTR Prediction [Paper] [Code]
(CIKM 2022) Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction [Paper]
(CIKM 2020) Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction [Paper]
(KDD 2019) Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction [Paper] [Code]
(SIGIR 2019) Graph Intention Network for Click-through Rate Prediction in Sponsored Search [Paper]
(IJCAI 2019) Deep Session Interest Network for Click-Through Rate Prediction [Paper] [Code]
(AAAI 2019) Deep Interest Evolution Network for Click-Through Rate Prediction [Paper] [Code]
(KDD 2018) Deep Interest Network for Click-Through Rate Prediction [Paper]
(IPM 2022) Click-through Rate Prediction in Online Advertising: A Literature Review [Paper]
(IJCAI 2019) Deep Learning for Click-Through Rate Estimation [Paper]