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AI - Content Recommendation Integrated with Library Management System

Authors:

Dr. Bikramjit Sarkar, Mr. Kaushik Roy Choudhury, Ritu Raj, Saumya Kumari, Shiv Shankar Shaw

ABSTRACT: The content recommendation system integrated with library management system is a comprehensive solution aimed at modernizing and streamlining various aspects of library operations. Users benefit from features like seamless book browsing, requesting, monitoring of issued books and suggestions for next book based on user activity ensuring a user-friendly experience. Concurrently, administrators can efficiently manage the book inventory, add new titles, and oversee user requests, empowering them with robust control over the library's resources. The system's primary goal is to enhance operational efficiency, provide proper recommendation and optimize user satisfaction within the library setting. The Content Recommendation System enhances user experience by incorporating content-based filtering algorithms for personalized book recommendations based on individual preferences. This innovative feature provides book suggestions to each user, creating a more engaging and joyful reading experience. The system further reinforces responsible borrowing behaviour through the introduction of a 10-day return period, emphasizing the importance of timely book returns. Overall, the Content Recommendation System stands out as a valuable tool in promoting user-centricity and operational efficiency within the library setting keeping the user

Keywords- Content Recommendation System, Content Based Filtering Algorithm