Machine Learning and Collaborative FilteringBased Book Recommendation System
Machine Learning and Collaborative FilteringBased Book Recommendation System
Vishal Paranjape,Saurabh Sharma,Zohaib Hasan
2023 · DOI: 10.15680/ijircce.2022.1012037
International Journal of Innovative Research in Computer and Communication Engineering · 0 Citations
TLDR
The proposed system will allow users to view and search for books, publications, and genres by category using the Support Vector Machine, which will list the top-rated books based on the input subject name and provide ratings.
Abstract
Nowadays, the volume of information available on the internet has significantly increased, and people
need tools to find and access relevant information. One such tool is a recommendation system. These systems helpusers navigate quickly and obtain the necessary information efficiently. Recommendation systems are an effectivesoftware technique to address this issue. They can be used in various settings, including libraries. This paper proposes aBook Recommendation System using Collaborative Filtering and Content-Based Algorithms to recommend booksto users based on their preferences and the ratings provided by other users. The proposed system will allow users toview and search for books, publications, and genres by category using the Support Vector Machine. SVM willlist the top-rated books based on the input subject name and provide ratings. It will also ensure the maintenance of userprivacy.