Hello Data Science Fellow!!!

In this repository I'm going to explain CTR - Click Through Rate Prediction.

Online display advertising is a multibillion-dollar industry. It comes in different formats including banner ads composed of text, images, flash, and rich media such as audio and video. Advertisers or their agencies place advertisements on a variety of websites, even mobile apps across the Internet, to reach potential customers and deliver an advertising message.

Pay-per-click Model, e.g. Advertiser would be charged only if their Ad is clicked.

CTR Prediction is VERY important component of Advertisment System.

i.e.

CTR = Total Number of Clicks / Total Number of Impressions.

Impressions = the number of times an ad has been seen.

Clicks = the number of times an ad has been clicked.

Amonge so many page views users have provided how many ads clicked.

Search Engine like Microsoft (Bing), Google, Yahoo and Amazon, Walmart, Flipkart uses CTR x Bid to rank ads because it displays the ad with maximal expected revenue first.

So we have Binary Classification Problem because If user click ads then +ve otherwise -ve if don't click.