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Over the last few years, we have seen revolutions in the internet technology and its adoption in advertising industry. Internet has become the common platform across the world where people visit different web sites for different type of their interests. It is also the cheapest media where they can place their advertisements as compared to other media like newspapers, Radio, TV etc. And hence we thought of putting a basic idea of exploring this smart era of smart devices and using the same for targeting advertisements along with traditional parameters like colour optimizations. In the project we will be implementing client server architecture for displaying and tracking the advertisements. A data store will be implemented using HDFS which will process data coming through advertisement tracking and also give efficient read and write operations for advertisement targeting. A statistical model will be implemented using statistical and probability based algorithms, which will provide feeds to server component to display the targeted advertisement. A device detection layer will also be implemented. I. Introduction In the field of e-advertisements, presenting ads and sales are combined together using hypertext or hypermedia to the nearest retailer or e-shops. So, targeted advertisement could be mentioned as an effective solution in the field of marketing on the web. Scientists have been focused on various variables and features that could be considered to target users in an appropriate way. While mentioning them, some new features are added. In this article, a framework has been proposed which facilitate targeted advertisements; using user interaction with previous advertisements and their interest. This system is used as a tool to target each user according to its preferences and interests. The main goal is to show the most effective advertisements and attract users to share word of mouth (WOM) advertisements with each other. Considering user's type through their activity in a social network and omitting repetitive advertisements ease is our aim. Marketing is listed as a primary activity in Michel porter's value chain model and it has a critical role in each business(2). Lots of researches have been performed for finding suitable methods of targeted advertising and making the most impression possible on people. This paper's main goal is not only to fascinate customers, but also to make an improvement in the field of advertising. Users are considered as potential customers and having exact and precise information about each user, would guide us to recommend useful goods or services to them according to their own interests and tastes. This is a good solution to overcome data's redundancies, which is the problem of information century. Receiving information in a proper time could increase user's satisfaction and it is an important issue in customer relationship managements. Using a constant advertisement for many times could cause inattentiveness and ignorance to advertisements in web pages and even the media. The availability of internet and growth of intranets cause e-commerce be mature. Web 2.0's interactivity property and arising social networks, result in having social networks as an appropriate media for targeting advertisement. Targeted advertisements are based on recognizing users well. In case of advertisement locations there were two aspects, the first one was the webpage and the second one was using word of mouth (WOM) to spread advertisement. In this paper, it is tried to use all improvements which prior researches made and also some new ideas to make the targeted advertising system more powerful. Having reviewed basic concepts and related works, the new framework will be illustrated.

“Optimizing Advertisement Targeting Based on Colour and Devices”