BOOK RECOMMENDATION SYSTEM USING PYTHON
1 Dr M PRASAD, 2 AKSHATHA G L
1,Associate Professor, Department of Master of Computer Application, BIET, Davangere
2Student, Department of Master of Computer Application, BIET, Davangere
Abstract: An innovative book recommendation tool called BookWise was created to help readers get individualized book suggestions based on their unique preferences. Effective recommendation systems are now more necessary than ever to guide readers through the overwhelming amount of options given the exponential expansion of the digital book market.
Advanced machine learning algorithms and methods for natural language processing are used by BookWise to analyze a variety of features of books, including genre, author, narrative, and style, as well as user information like reading habits, ratings, and history. These elements are combined by BookWise to produce precise recommendations that are pertinent to the preferences of each user.
BookWise's ability to learn from and adjust to the evolving preferences of its users over time is at the heart of the program. The system uses collaborative filtering and content-based filtering approaches to continuously gather user feedback on suggested books and take user interactions into account. By doing this, it is able to make increasingly accurate and interesting recommendations to users.
By implementing a user review and rating system, BookWise also encourages social involvement and a sense of community among its members. Users can communicate with people who share their interests in literature, discuss reviews, and offer their thoughts. This community-driven strategy improves the quality of suggestions while also enhancing the reading experience by encouraging interactions and relationships amongst book lovers.
Furthermore, BookWise is created to be very user- friendly, giving cross-platform compatibility, including online and mobile applications, to make sure users can get their tailored recommendations wherever they are and whenever they want. The system also offers a simple and user-friendly design that makes it simple to navigate and explore books of all genres, new releases, and popular works.
Through thorough user testing and review, BookWise's efficacy has been confirmed, proving its capacity to provide precise and pleasing recommendations that are in line with consssumers' interests. BookWise represents a significant advancement in the field of book recommendation systems by providing a potent tool to improve reader experiences, promote literary research in the digital age, and ease discovery.
Keywords—Personalize book recommendation; recommendation system; clustering; machine learning
