Paper Title
Digital Library Using Hybrid Book Recommendation Engine
Abstract
As the number of documents in digital library is increasing, storage and management of large amount of
documents and to find requested documents by user is becoming a challenge. A Web based Digital Library with Hybrid
Book Recommendation System was designed for this purpose. Using this Digital library, user will be able to read e-books
after being approved by the administrator. It will also consist of a Hybrid Book Recommendation System to provide relevant
suggestions to the users. The recommendations could be based on various parameters, such as user characteristics such as
demographic information; and past searching and issuing behaviorss of the customers. Thus, we have proposed a web
application for digital library with a hybrid book recommendation system which satisfies a user by providing best and
efficient e-book recommendations.
Keywords- Collaborative filtering, Content based filtering, Hybrid recommender, LSH technique, Recommender System,
Relevant search, Slope One technique, Time efficient.