Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 14, Issue 3


Published
on


Pages

728-733


DOI

Article

A New Strategic Approach to Search Advertising Recognition Through Feature Engineering


Authors

Hima Bindu B* Affiliation:
Department of CSE, Malla Reddy Engineering College For Women, Telangana, India
, D. Khyathi Reddy Affiliation:
Department of CSE, Malla Reddy Engineering College For Women, Telangana, India
, G. Shravani Affiliation:
Department of CSE, Malla Reddy Engineering College For Women, Telangana, India
, B. Hymavathi Affiliation:
Department of CSE, Malla Reddy Engineering College For Women, Telangana, India
and K. Swathi Affiliation:
Department of CSE, Malla Reddy Engineering College For Women, Telangana, India


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.


Keywords

Applied Sciences, Advertising, Commercial, Anticipated


Citation

B, H. B., Reddy, D. K., Shravani, G., Hymavathi, B., & Swathi, K. (2023). A new strategic approach to search advertising recognition through feature engineering. Turkish Journal of Computer and Mathematics Education, 14(3), 728–733.

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