Book Recommendation Portal

Recommendation systems found in e-commerce form or work from a specific type of information filtering system technique that tries to recommend items that are likely to be of interest to the user. The main approaches for recommendation are content filtering recommendation and collaborative filtering recommendation. A combination of both is hybrid system. In this project, we make use of hybrid recommendation system. It is hybrid because we are using ratings of the book coupled with book’s feature to provide recommendation of books. For big data analysis, we use a tool called Hadoop. Hadoop is an open-source software framework. It allows to store and process big data across sets of computers in a distributed environment. To do this, it makes use of a programming model called Map reduce to find the feature of the books, in this case we consider the keywords to be the feature of the book. The proposed system is different from the existing one as we are gathering ratings of the user to know his likes and later we are analyzing the features of the book.