Research Article
Advertisement Click-Through Rate Prediction Based on the Weighted-ELM and Adaboost Algorithm
Table 1
Description of the experimental dataset.
| Attribute name | Data type | Attribute explanation |
| push_time | Timestamp | Time of bidding request | u_id | String | User ID | exchange_id | Int | Advertising Exchange Platform ID | c_id | String | Advertising Creative ID | space_id | String | Advertising Position ID | area_id | Int | Area ID | media_id | Int | Meida ID | advertiser_id | Int | Advertiser ID | policy_id | Int | Policy ID | user_agent | String | Agent of browser | user_ip | String | User ip | if_click | Int | If click | if_show | Int | If show | price_base | Double | Lowest price for bidding the advertising position | price_win | Double | Price for winning the advertising position | url | String | URL |
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