Solving Cold Start Problem using MBA

Recommendation System is the base of Ecommerce business in India and World. After The advent of 4G technology in developed and developing countries people are using internet more than ever. Lot of options are available for almost everything on Internet. People are confused with all the options. Recommendation system makes this easier by giving users options on the basis of history of the user in the system. Now you can get choices on the basis of your likes and dislikes. But this recommendation system fails when we have no information about the user and item. In simple words because we do not have user history therefore we cannot use recommendation algorithm. In this paper we are suggesting a MBA (market basket Analysis) technique to help us solve this problem to some level. We are using data available by Amazon to develop and test our method.