Click-Through Rate Prediction - Avazu
File descriptions
- train - Training set. 10 days of click-through data, ordered chronologically. Non-clicks and clicks are subsampled according to different strategies.
- test - Test set. 1 day of ads to for testing your model predictions.
- sampleSubmission.csv - Sample submission file in the correct format, corresponds to the All-0.5 Benchmark.
Data fields
| Key | Description |
|---|---|
| id | ... |
| click | 0/1 for non-click/click |
| hour | format is YYMMDDHH, so 14091123 means 23:00 on Sept. 11, 2014 UTC. |
| C1 | anonymized categorical variable |
| banner_pos | ... |
| site_id | ... |
| site_domain | ... |
| site_category | ... |
| app_id | ... |
| app_domain | ... |
| app_category | ... |
| device_id | ... |
| device_ip | ... |
| device_model | ... |
| device_type | ... |
| device_conn_type | ... |
| C14-C21 | anonymized categorical variable |
Papers
| Paper | Code | Results | Date | Stars |
|---|
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