​Data Mining & Machine Learning

Internet websites usage rapidly increased in the market; each website uses various colors in their design, interact with an audience around the world. This research will analyze and propose an indication of colors impact on the popularity of websites, provides statistics about dominant colors on top-ranked websites, and provide a comparison between website favicon and relationship with design.

The dataset consist of 1 million websites; every website has a popularity rank over the world extracted from Alexa (an Amazon company). The first step we will download (main page, favicon and take screenshot) for each website. Then we will extract metadata from the main pages, after that, we will use a clustering algorithm k-means to measure dominant colors for website favicon and screenshot using (TOOL).

Project Date: September 2018