• MS.POOJA KAMBLE
• DR.NIHAR RANJAN

Advertisements play a vital role in every industry and they help in the growth of the industry. The advertisements that are published are not viewed properly by the user just because of insufficient clicking. By using the scroll depth process, we are able to predict the view ability of the advertisement based on the scroll percentage and also predict the maximum viewed advertisements. Online display advertising has become a billion-dollar industry, and it keeps growing. Advertisers attempt to send marketing messages to attract potential customers via graphic banner ads on publishers’ web pages. Advertisers are charged for each view of a page that delivers their display ads. However, recent studies have discovered that more than half of the ads are never shown on users’ screens due to inefficient scrolling. Thus, advertisers waste a great amount of money on these ads that do not bring any return on investment.

Computational Advertising, View-ability Prediction, User Behavior.

"A Survey paper on framework to predict the advertise view ability by using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1333-1336, June-2020, Available :http://www.jetir.org/papers/JETIR2006194.pdf

"A Survey paper on framework to predict the advertise view ability by using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1333-1336, June-2020, Available at : http://www.jetir.org/papers/JETIR2006194.pdf