Topic: click-through-rate-prediction Goto Github
Some thing interesting about click-through-rate-prediction
Some thing interesting about click-through-rate-prediction
click-through-rate-prediction,Source code for GIFT (CIKM 22)
User: bayi-hu
click-through-rate-prediction,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)
User: binfupku
click-through-rate-prediction,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
User: curiosity30
Home Page: https://challenge.xfyun.cn/topic/info?type=Ad-click-through&ch=dc-web-banner01
click-through-rate-prediction,웹 광고 클릭률 예측 AI 경진대회, DACON (2024.05.07 ~ 2024.06.03)
User: gnoeyheat
Home Page: https://dacon.io/competitions/official/236258/overview
click-through-rate-prediction,Get AUC 0.809 at Criteo dataset by MLP
User: guotong1988
click-through-rate-prediction,Get AUC 0.794 at Movielens 20M dataset
User: guotong1988
click-through-rate-prediction,This respository is used to log some deep learning based recommendation models.
User: qinhsiu
click-through-rate-prediction,Logging some competitions in the field of data mining.
User: qinhsiu
click-through-rate-prediction,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.
User: qwerfdsaplking
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