Computational Commercial Promotion is a budding domain under digital promotion industry users’ average browsing rate has increased enormously leading to abundance of the data available for analysis. The velocity on which the commercial marketing is clicked by users is considered as the hit it off through velocity of the commercial marketing. It helps us in measuring the impact of an marketing on the user. The positioning of advertisement incorrect coordinates promotes to the climb in the hit it off through velocity assessment that affects the escalation of patron contact which eventually increases the profit earnings for the stakeholders. Thus it is essential to forecast the hit it off through velocity assessment in order to practice a competent commercial placement stratagem. This paper proposes an inferential representation that generates the hit it off through velocity assessment on diverse magnitude of commercial placement to flaunt advertisements using Non Linear Multivariate Regression (NLMR). We achieve good results in terms of Precision and Correctness. The accuracy of our model is 98.67%.
Volume 12 | 01-Special Issue
Pages: 780-785
DOI: 10.5373/JARDCS/V12SP1/20201129