• Rup Kumar Saha Mandal
• Dr. Deepamala N

In todays world, a deal model is one of the most critical decision tools used in the evaluation of a potential transaction. This includes cash flow, deal targets, deal duration, fill rate, render rate, margin loss/gain and so on. Depending on the needs of the publisher, the deal model may vary, however. Numerous methods for deal model optimization exist, based on theory. The project deals with risk-neutral deal model construction. The model being developed will provide a deep understanding of financial dealings between the publishers and the mediator by generating clear visual output based on brand, performance and programmatic advertisements. We shall go a step further and attempt to use machine learning to create and maintain deal model.

binning, machine learning, optimization, compute, virtualization

"Deal Model Optimization using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.393-396, May-2019, Available :http://www.jetir.org/papers/JETIR1905G53.pdf

"Deal Model Optimization using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp393-396, May-2019, Available at : http://www.jetir.org/papers/JETIR1905G53.pdf