
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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Book Recommendation System
Author(s) | Ramesh Kumar Singh, Vikas Kumar, Puneet Sharma, Prof. Dr. Manish Kumar Mehrotra |
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Country | India |
Abstract | Software known as a recommendation system (RS) makes recommendations to a customer based on preferences or previous purchases. After analyzing enormous volumes of object data, RS generates a list of products that satisfy the buyer's requirements. Nowadays, most e-commerce companies utilize recommendation algorithms to show clients things they are likely to like in order to persuade them to make greater purchases. Amazon, Barne & Noble, Flipkart, Goodreads, and other businesses utilize book recommendation algorithms to propose books that customers would find interesting to buy because they fit their interests. |
Keywords | Jaccard Similarity, filtering methods, recommender system, and similarity index |
Field | Computer |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-29 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.41466 |
Short DOI | https://doi.org/g9mnzc |
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E-ISSN 2582-2160

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