Book Recommendation System
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.
Authors
- Vikas Kumar (ORCID: https://orcid.org/0000-0001-7861-9733)
- Ram Singh (ORCID: https://orcid.org/0000-0002-5912-0993)
- Meenal Mehrotra (ORCID: https://orcid.org/0000-0002-7019-5363)
- Puneet Sharma
Publication Details
- Journal
- International Journal For Multidisciplinary Research
- Published
- 2025-05-29
- DOI
- https://doi.org/10.36948/ijfmr.2025.v07i03.41466
- Primary Topic
- Web and Library Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00