User feedback scoring and evaluation of a product recommendation system

With the legerity of the Internet, daily life of a common man has changed. Rapid growth of the Internet has a diverse effect on the daily life. The influence of the Internet has changed the way we live and even the way we think. The use of Internet for purchasing different products of the daily needs has increased exponentially in recent years. Now customers prefer online shopping for the acquisition of the various products. But the huge e-business portals and increasing online shopping sites make it difficult for the customers to go for a particular product. It is very common practice that a customer wishes to know the perception of other consumers who already have acquired the same product. Therefore we tried to involve the human judgment in recommending the products to the users using implicit user feedback. In this paper we chose few products and their respective ranks arbitrarily taken from previous work. For obtaining user's purchase activities a vector feedback is taken from the user and on the basis of their feedback products are scored, hence they are again ranked which is supposed to be the user's ranking. Finally we evaluate the system performance using false negative and false positive rates, which show the effectiveness of the proposed method.