ivanliu1989 / Predict-click-through-rates-on-display-ads
Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page h…
☆17Updated 5 years ago
Alternatives and similar repositories for Predict-click-through-rates-on-display-ads:
Users that are interested in Predict-click-through-rates-on-display-ads are comparing it to the libraries listed below
- Click Through Rate Prediction☆14Updated 10 years ago
- tag doc using topN words with lda☆10Updated 9 years ago
- iCQA - Intelligent Community Question Answering Framework☆31Updated 8 years ago
- Source code for exploring MLlib blog post☆11Updated 9 years ago
- Predicting job salaries from ads - a Kaggle competition☆55Updated 10 years ago
- An LSTM based query classification for Mandrain, implemented using Tensorflow☆19Updated 8 years ago
- A GBDT(MART) and LambdaMART training and predicting package☆14Updated 9 years ago
- Real Time Bidding Algorithm Implementation☆39Updated 10 years ago
- A framework of statistical arbitrage mining in performance-driven display advertising.☆71Updated 9 years ago
- A set of methods that predict the future values of popularity indices for news posts using a variety of features.☆33Updated 7 years ago
- LASER-A Scalable Response Prediction Platform For Online Advertising☆48Updated 10 years ago
- Multinomial Factorization Machines☆21Updated 8 years ago
- Data mining project to predict stock prices on basis of sentiments.☆10Updated 9 years ago
- Recommendations Serving Engine using python☆28Updated 9 years ago
- ☆19Updated 11 years ago
- Experiment on text summarization techniques and exploring Tensorflow.☆15Updated 7 years ago
- Deep reinforcement learning with TensorFlow☆47Updated 7 years ago
- Different approaches to computing document similarity☆28Updated 8 years ago
- Mercury:Recommendation Engine Sandbox Using Movielens Dataset☆8Updated 10 years ago
- Kaggle Avazu beat-the-benchmark model☆36Updated 10 years ago
- The experiment software underlying two papers published at ECIR-2015 and SEMEVAL-2015.☆37Updated 10 years ago
- Semi-supervised Latent Dirichlet Allocation (LDA)☆12Updated 7 years ago
- Notes on Logistic Regression and OWLQN☆26Updated 7 years ago
- 2016CCF-sougou-code&PPT☆55Updated 8 years ago
- Film recommendations with Apache Spark and Python☆61Updated 9 years ago
- ☆29Updated 9 years ago
- Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation☆45Updated 8 years ago
- Theano based deep ANN learning code☆38Updated 14 years ago
- ☆20Updated 8 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago