click-through-rate-prediction
There are 0 repository under click-through-rate-prediction topic.
qwerfdsaplking / SATrans
The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-Domain Recommendation.
Language:Python 30BinFuPKU / CTRRecommenderModels
I have surveyed the technology and papers of CTR & Recommender System, and implemented 25 common-used models with Pytorch for reusage. （对工业界学术界的CTR推荐调研并实现25个算法模型，2023）
Language:Jupyter Notebook 16Bayi-Hu / GIFT-Graph-guided-Feature-Transfer-Network
Source code for GIFT (CIKM 22)
Language:Python 12guotong1988 / run_criteo_dataset
Get AUC 0.809 at Criteo dataset by MLP
Language:Python 3Get AUC 0.794 at Movielens 20M dataset
Language:Python 3QinHsiu / deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Language:Python 1This respository is used to log some deep learning based recommendation models.
Language:Python 1- Language:Jupyter Notebook 1
curiosity30 / 2021-iFLYTEK-CTR-Top9-Solution
datawhale&科大讯飞举办的学习挑战赛————“广告点击率预估挑战赛” Rank9 方案
Language:Python 0