Book genre suggestions based on using algorithms
Department of Information Technology, Bharathiar University, Coimbatore – 641046, Tamil Nadu, India.
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 1053–1060
Article DOI: 10.30574/wjarr.2023.18.1.0596
Publication history:
Received on 27 February 2023; revised on 09 April 2023; accepted on 11 April 2023
Abstract:
A scientific study of statistical models and algorithms is known as machine learning. K-N N and matrix are two machine learning methods utilize in this study factorization. The BX books dataset is used in the system for recommending books. Collective selection and material-based sorting systems are both employed the suggestion method as a selection strategy. To offer to a customer the "rank" or "first alternative" for an element, pattern filtering is used. Information regarding the customer's initial choice on unique subjects related to movies, literature, travel, TV, and business, among other things, was collected during the suggestion process. On the other hand, a system for selecting and recommending that works makes use of the customer's past performance or history. Cooperative sorting is a technique for analyzing and comparing categories among users.
Keywords:
KNN [K-Nearest Neighbor]; Matrix Factorizations; Collaborative Filtering; Recommender Systems; Book Recommendations.
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0