ivanliu1989 / Predict-click-through-rates-on-display-adsLinks
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 6 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
Sorting:
- iCQA - Intelligent Community Question Answering Framework☆31Updated 8 years ago
- Real Time Bidding Algorithm Implementation☆39Updated 10 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
- Mercury：Recommendation Engine Sandbox Using Movielens Dataset☆8Updated 10 years ago
- Experiment on text summarization techniques and exploring Tensorflow.☆15Updated 8 years ago
- Theano based deep ANN learning code☆38Updated 14 years ago
- Film recommendations with Apache Spark and Python☆61Updated 10 years ago
- Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose…☆26Updated 11 years ago
- Predicting The Stock Market using Time Series Analysis and Media☆10Updated 10 years ago
- Source code for exploring MLlib blog post☆11Updated 10 years ago
- Dato/Turi DS Conf talk on NLP and Elasticsearch analysis of reviews, plus JS implementation☆45Updated 8 years ago
- Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"☆21Updated 9 years ago
- Replication software, data, and supplementary materials for the paper: O'Connor, Stewart and Smith, ACL-2013, "Learning to Extract Intern…☆26Updated 4 years ago
- Python video summarization. Visit the public API at -- www.shorten.tv (EDIT: The domain expired and youtube blocked it ..)☆81Updated 3 years ago
- Different approaches to computing document similarity☆28Updated 8 years ago
- Recommendations Serving Engine using python☆28Updated 9 years ago
- Graphical techniques for text mining.☆19Updated 10 years ago
- Predicting job salaries from ads - a Kaggle competition☆55Updated 11 years ago
- A tool for semantic relation extraction. The program finds pairs of semantically related words based on the text definitions coming from …☆26Updated 11 years ago
- Homebrew implementation of IBM Watson DeepQA (NLTK, Semantic Web, AI strategies)☆16Updated 13 years ago
- Click Through Rate Prediction☆14Updated 10 years ago
- Semi-supervised Latent Dirichlet Allocation (LDA)☆12Updated 7 years ago
- A Latent Dirichlet Allocation topic modeling package based on SparseLDA Gibbs Sampling inference algorithm☆8Updated 12 years ago
- implement some outlier detection algorithms☆11Updated 9 years ago
- Automated NLP sentiment predictions- batteries included, or use your own data☆18Updated 7 years ago
- Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.☆17Updated 9 years ago
- Model for the Event Recommendation Engine Challenge on Kaggle.com☆43Updated 12 years ago
- 4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)☆28Updated 10 years ago
- Vector-free L-BFGS implementation on Spark☆9Updated 9 years ago
- a large scale lbfgs using a method in nips 2014 paper "Large-scale L-BFGS using MapReduce".☆13Updated 10 years ago