Article
A New Strategic Approach to Search Advertising Recognition Through Feature Engineering
Authors
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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.
H. B. B, D. K. Reddy, G. Shravani, B. Hymavathi and K. Swathi, “A new strategic approach to search advertising recognition through feature engineering,” Turkish Journal of Computer and Mathematics Education, vol. 14, no. 3, pp. 728–733, 2023.
B HB, Reddy DK, Shravani G, Hymavathi B, Swathi K. A new strategic approach to search advertising recognition through feature engineering. Turkish Journal of Computer and Mathematics Education. 2023;14(3):728–733.
B, H. B., Reddy, D. K., Shravani, G., Hymavathi, B. and Swathi, K. (2023), ‘A new strategic approach to search advertising recognition through feature engineering’, Turkish Journal of Computer and Mathematics Education, 14(3), pp. 728–733.
B, Hima Bindu, et al. “A New Strategic Approach to Search Advertising Recognition Through Feature Engineering.” Turkish Journal of Computer and Mathematics Education, vol. 14, no. 3, 2023, pp. 728–733.
B, Hima Bindu, D. Khyathi Reddy, G. Shravani, B. Hymavathi, and K. Swathi. “A New Strategic Approach to Search Advertising Recognition Through Feature Engineering.” Turkish Journal of Computer and Mathematics Education 14, no. 3 (2023): 728–733.
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Published by: Engineering Journals


