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 companyís 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 usersí 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.
Technique, Collaborative Technique, Content Based Technique, Recommendation
Engine, Userís Interest.