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A Data-Driven Mobile Community Application for Book Recommendation and Personalization using AI and Machine Learning

Abstract

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Knowing a movie or a book fits your flavor without finishing the whole film or the book? Although there are many ways to find a summary of a film or a book, having an app that generates needed information according to the genre will make things much more manageable. This paper develops a mobile app named Book and Movie Search that uses API or the online database to generalize data such as authors, plots, overview, and more with a few clicks. The results show that within seconds, a list of information will show according to movies and books, and a qualified way to find information using the Book And Movie Search app. For example, if one decided to buy a book named Flipped and did not have time to finish the whole book, he can enter the name on the app. It will generate a book summary that quickly gives him more information about it and help him decide whether he wishes to make the purchase.

Record information

Authors
Lulu Zha
Publisher
Academy and Industry Research Collaboration Center (AIRCC)
Publication
Artificial Intelligence and Machine Learning
DOI
10.5121/csit.2022.121218