Book Recommendation System with Integrated Chatbot

Book Recommendation System with Integrated Chatbot

Vedant Pawar1, Mahesh Dunde2, Gaurav Lavekar3, Prof. Anand Dhawale4

1 Department of Computer Engineering, MES’s Wadia College of Engineering, Pune

 2 Department of Computer Engineering, MES’s Wadia College of Engineering, Pune

3 Department of Computer Engineering, MES’s Wadia College of Engineering, Pune

4 Department of Computer Engineering, MES’s Wadia College of Engineering, Pune

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Abstract - In today’s digital era, the overwhelming volume of available literature necessitates a more personalized approach to book recommendations. Our research aims to address this need by pioneering a solution that integrates hybrid filtering methodologies and advanced chatbot technology driven by machine learning algorithms. By leveraging these cutting-edge techniques, we aspire to redefine the book discovery experience, providing tailored recommendations that resonate with individual preferences. Through the fusion of popularized, collaborative and content-based alongside the capabilities of machine learning models for natural language processing, our system not only enhances recommendation accuracy but also fosters real-time interaction, ultimately enhancing user satisfaction and engagement in the realm of literature.

Key Words- Personalized book recommendations, Hybrid filtering methodologies, chatbot technology, machine learning algorithms,  Collaborative filtering, Content-based filtering, Natural language processing, Recommendation accuracy.