Novel nest:A book recommendation system

Abstract: With more books being made available on digital and physical media, it has become a problem for readers to find relevant material. A book recommendation system employs to customize recommendations from user profiles, reading habits, and context information. This paper discusses approaches, such as collaborative filtering, content-based filtering, and hybrid recommendation frameworks, to improve the precision and effectiveness of book recommendations.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-05-04
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.43474
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Novel nest:A book recommendation system

P. Sreerama Kumar, Akash Gupta
International Journal For Multidisciplinary Research
Spam and Phishing Detection
article

Novel nest:A book recommendation system

P. Sreerama Kumar, Akash Gupta
article en

Abstract

Abstract: With more books being made available on digital and physical media, it has become a problem for readers to find relevant material. A book recommendation system employs to customize recommendations from user profiles, reading habits, and context information. This paper discusses approaches, such as collaborative filtering, content-based filtering, and hybrid recommendation frameworks, to improve the precision and effectiveness of book recommendations.

International Journal For Multidisciplinary ResearchVol. 7(3)
Openalex Percentile: Top 87%
Spam and Phishing Detection
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Novel nest:A book recommendation system — P. Sreerama Kumar, Akash Gupta · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS