Published 2020
| Version v2
Open dataset
Open
Advertisement CTR Prediction Data
Creators
Description
Description
Advertisement CTR (click-through-rate) prediction is the key problem in the area of computational advertising. Increasing the accuracy of advertisement CTR prediction is critical to improve the effectiveness of precision marketing. Based on the following datasets, a Kaggle competition was run for optimal advertisement CTR prediction models. The datasets contain the advertising behavior data collected from seven consecutive days, including a training dataset and a testing dataset.
Files
test_data_A.csv__100lines.csv
Details
| Resource type | Open dataset |
| Title | Advertisement CTR Prediction Data |
| Creators |
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| Research Fields | Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other |
| Size | 6.86 GB |
| Formats | Comma-separated values (CSV) (.csv) |
| License(s) | Undefined |
| External Resource | https://www.kaggle.com/louischen7/2020-digix-advertisement-ctr-prediction |