A NEW STRATEGIC APPROACH TO SEARCH ADVERTISING RECOGNITION THROUGH FEATURE ENGINEERING
Main Article Content
Abstract
Feature engineering is one of the key applied sciences in the lookup of search advertising and marketing recognition. Most of the present search advertising and marketing techniques are chosen in accordance to the prior knowledge, which is too subjective to be popularized. Taking the commercial of Ali search marketing as the lookup object, a function processing technique based totally on the pre-analysis of save and consumer facts is put forward, and then the conversion charge is anticipated with XGBoost (eXtreme Gradient Boosting). Experiments exhibit that in contrast with different priori Feature Engineering, the proposed approach can appreciably enhance the prediction results.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
