B-Trade: Innovating Book Recommendation and Exchange Through Web Technology
Conference proceedings article
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Publication Details
Author list: วิธวินท์ สุสุทธิ, กีรตาพันธ์ มาลัย, กัญญาวีร์ แสงหอม, ภิรดา เซ็มแม้นหมัด, อัจฉิมา นาทีประดับ, วรินทร์ วัฒนพรพรหม
Publication year: 2024
Start page: 188
End page: 200
Number of pages: 13
Languages: Thai (TH)
Abstract
B-Trade is an innovative web application designed to facilitate the exchange of second-hand books among users. Leveraging online Machine Learning models, B-Trade offers personalized book recommendations, enhancing the user experience and fostering a community of avid readers. The platform addresses common issues such as the high cost of purchasing new books and the environmental impact of book production. With an intuitive user interface, B-Trade simplifies user registration, book posting, and handling exchange requests. Key functionalities include user-based collaborative filtering and content-based filtering using Cosine Similarity and K-Nearest Neighbors (KNN) algorithms, ensuring accurate and relevant recommendations. The user-friendly design, validated through usability testing, promotes cost-effective and sustainable reading habits while strengthening community ties through shared literary interests. B-Trade creates an enriching and dynamic online environment for book lovers.
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