Design And Development Of Manga Mobile Application Recommender System

Reading an e-book has become common in modern society due to its convenience. Manga, another sort of e-book, has developed a devoted following over the years. As a result, when selling products online, most businesses have a recommendation system in place. The majority of websites, however, are not made with the customer in mind; rather, the corporations' force add-ons sell to clients by making recommendations. As a result, our research primarily focused on a machine learning strategy known as a clustering-based method to address this constraint. The user's preferences have been taken into account by the clustering-based method. The agile methodology has been used in our study. A mobile application has been used to assess how effective this strategy is. Following evaluation, the utility of the system is assessed at 85.71 percent, followed by satisfaction at 93.20 percent, ease of use at 88.53 percent, ease of learning at 95.83 percent, and usefulness at 85.71 percent. Overall, the system performed well in the usability assessment with a score of 85.08 percent.