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@article{174664,
        author = {MAHAMAT HABIB KHALIL MAHAMAT and CLESCH MAYOULOU and BAHAR YOUSSOUF MAHAMAT},
        title = {BOOK RECOMMENDATION SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {220-225},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174664},
        abstract = {The Academic Book Recommendation System is a web/application platform designed to assist users in discovering and categorizing books based on their contents within the academic domain. This system will use the content-based recommendation system to filter out the books of the same contents and group them in the same categories. It will analyze the subject matter, themes, and key concepts of each book, providing users with personalized and relevant recommendations. It will enable personalized recommendations where the user is able to search a book by typing the title of the book, name of the author, or category in which the book belongs (e.g., programming, business, science, mathematics, arts, and language). Users will be able to find the books of their preference based on the contents they are interested in. Our Academic recommendation system will provide features like author's names, book abstracts, and book descriptions. To access our web platform, users have to register, log in to their account, and access the contents. Users will be able to browse through multiple subjects and find some recommended books based on their interests. Features on a user-registered account include wish listing, sharing, and feedback. To implement our project, we will make use of Content-Based Filtering (CBF), which recommends books by comparing the content of the books to user preferences.},
        keywords = {},
        month = {March},
        }