A Proposed Book Recommender System

Abstract: Now-a-days, many major e-commerce Websites are using recommendation systems to provide relevant suggestions to their customers. The recommendations could be based on various parameters, such as items popular on the company�s Website; user characteristics such as geographical location or other demographic information; or past buying behavior of top customers. In this paper, a book recommendation engine is proposed which uses data mining techniques for recommending books. The proposed recommender system will give its users� the ability to view and search books as well as novels which will be used to draw out conclusions about the stream of a user and the genre of the books liked by that user. The system will analyze the user behavior by using the features of various recommendation techniques such as content based; collaborative and demographic. Thus, in this paper a hybrid recommendation system is proposed which satisfies a user by providing best and efficient books recommendations.  

Keywords: Demographic Technique, Collaborative Technique, Content Based Technique, Recommendation Engine, User�s Interest.