A NEW STRATEGIC APPROACH TO SEARCH ADVERTISING RECOGNITION THROUGH FEATURE ENGINEERING
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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.
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