Book Recommendation System using Content-Based Filtering Technique
DOI:
https://doi.org/10.14456/jeit.2025.13Keywords:
Content-Based Recommendation, Similarity, TF-IDFAbstract
This research aims to: 1) develop an algorithm and a content-based book recommendation system, and 2) enhance the content-based book recommendation system. The dataset for the experiment consists of 727 books from the Web OPAC of the Library Services at Kalasin University. The tools used in the development process include Python programming language and Google Colab. The research methodology involves several steps: word segmentation using Natural Language Processing (NLP) techniques to tokenize text, TF-IDF calculation to determine the significance of words, and text-to-numeric conversion using Label Encoding. Two similarity measurement methods, Cosine Similarity and Adjusted Cosine Similarity, were employed. System performance was evaluated using Accuracy and Mean Absolute Error (MAE), and recommendations were generated for the top 5 and top 10 books. The findings indicate that for the top 5 book recommendations, the Cosine Similarity method produced an accuracy of 92.97% with an MAE of 0.0263, while the Adjusted Cosine Similarity method produced an accuracy of 88.72% with an MAE of 0.0153. For the top 10 book recommendations, Cosine Similarity produced an accuracy of 92.92% with an MAE of 0.2819, whereas Adjusted Cosine Similarity produced an accuracy of 92.50% with an MAE of 0.4960. The results reveal that Cosine Similarity consistently outperforms Adjusted Cosine Similarity in terms of accuracy for both the top 5 and top 10 recommendations. However, Adjusted Cosine Similarity demonstrated a lower MAE for the top 5 recommendations but a higher MAE for the top 10 recommendations. These findings underscore the effectiveness of these similarity measurement methods in developing efficient content-based recommendation systems.
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ลิขสิทธิ์ของวารสาร
เนื้อหาและข้อมูลในบทความที่ลงตีพิมพ์ในวารสารศูนย์ดัชนีการอ้างอิงวารสารไทย ถือเป็นข้อคิดเห็นและความรับผิดชอบของผู้เขียนบทความโดยตรงซึ่งกองบรรณาธิการวารสาร ไม่จำเป็นต้องเห็นด้วย หรือร่วมรับผิดชอบใด ๆ
บทความ ข้อมูล เนื้อหา รูปภาพ ฯลฯ ที่ได้รับการตีพิมพ์ในวารสารศูนย์ดัชนีการอ้างอิงวารสารไทย ถือเป็นลิขสิทธิ์ของวารสารศูนย์ดัชนีการอ้างอิงวารสารไทย หากบุคคลหรือหน่วยงานใดต้องการนำทั้งหมดหรือส่วนหนึ่งส่วนใดไปเผยแพร่ต่อหรือเพื่อกระทำการใด จะต้องได้รับอนุญาตเป็นลายลักอักษรจากวารสารศูนย์ดัชนีการอ้างอิงวารสารไทยก่อนเท่านั้น
