Pytorch implementation of CACM (WSDM'20)
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Dec 27, 2021 - Python
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click-prediction
Here are 7 public repositories matching this topic...
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Apr 29, 2017 - Jupyter Notebook
Click-Through Rate Prediction
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Oct 2, 2023 - Jupyter Notebook
Machine learning project predicting ad click-through rates with 96% accuracy using Logistic Regression. Complete implementation with EDA, model training, and business insights for digital marketing optimization. Perfect for learning classification algorithms.
python data-science machine-learning scikit-learn classification logistic-regression digital-marketing predictive-modeling ad-tech click-prediction business-analytics marketing-analytics
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Oct 17, 2025 - Jupyter Notebook
CS7CS4- Machine Learning- Recommendation Algorithm- Click Prediction- Kaggle Competition
machine-learning recommendation-system recommender-system click-prediction click-through-rate cs7cs4
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Apr 29, 2020 - Jupyter Notebook
In this project, a fake advertising dataset is analyzed to predict the likelihood of internet users clicking on an advertisement, utilizing features such as daily time spent on the site, age, area income, daily internet usage, ad topic line, city, gender, country, timestamp, and a binary click indicator.
machine-learning scikit-learn python3 supervised-learning classification data-analysis logistic-regression predictive-modeling binary-classification model-evaluation click-prediction advertising-analytics
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Feb 5, 2026 - Jupyter Notebook
Outbrain 클릭 로그 기반 세션 어텐션 랭킹 모델 + MMR 다양성 재랭킹. 콘텐츠 피드 추천과 광고 CTR 예측의 교차점을 다룬 딥러닝 프로젝트
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Sep 15, 2026 - Jupyter Notebook
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