Online Product Promotion with Hadoop Technology

This paper deals with applying the Big Data Analytics for Advertisement promotion. In the current era, Internet uses are rapidly increases. The users are involved in Distributed processing of mass data through a cluster composed by many machines and personalized search services based on the user profile have been the hotspots of research and development. Hadoop is a software platform which is easy for development and processing mass data. It is written by Java. Hadoop is scalable, economical, efficient and reliable. It can be deployed to a big cluster composed of hundreds of low-cost machines. Main purpose of analysis is extraction of user profile. The system finds out the user's interesting information through unceasingly receiving, organizing and collating the user's information of web browsing, or mining data from the history, such as browser temporary files, personal favorites and many more. Choosing a product from online stores is quite confusing for most of the customers. Customers are interested in buying a product that has been widely acclaimed. On the other side, the vendors are also interested in knowing where their products stand in competition. Both these issues tackled by the analysis of click-stream. Analysis of clickstreams show how a website is navigated and used by visitors. Click-stream data of online stores contains information useful for understanding the effectiveness of marketing and merchandising efforts, such as how customers find the store, what product they see, and what product they purchase. In this paper, we are making an effort to help the customers in finding popular, largely sold products. For this purpose we intend to create a platform that will maintain user profile and also vendor product advertisements. We intend to use Hadoop for click-stream analysis based on the user profile and click-stream analysis, our website will display only that advertisement which helps the customer in arriving decisions. In other words, contents of webpage displayed to customer will be determined on the basis of user profile.