International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Book Recommendation System

Author(s) Ramesh Kumar Singh, Vikas Kumar, Puneet Sharma, Prof. Dr. Manish Kumar Mehrotra
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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