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

Lulu Zha
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Abstract

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.
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一个数据驱动的移动社区应用程序,使用人工智能和机器学习进行图书推荐和个性化
没有看完整部电影或整本书就知道一部电影或一本书适合你的口味?虽然有很多方法可以找到电影或书籍的摘要,但拥有一个根据类型生成所需信息的应用程序将使事情变得更容易管理。本文开发了一个名为Book and Movie Search的移动应用程序,该应用程序使用API或在线数据库,只需点击几下即可概括作者、情节、概述等数据。结果表明,在几秒钟内,信息的列表将显示根据电影和书籍,和一个合格的方式查找信息使用这本书和电影搜索应用。例如,如果一个人决定买一本书名叫翻转和没有时间完成整本书,他可以在应用程序输入名称。这本书将生成一个摘要,迅速给了他更多的信息和帮助他决定是否希望购买。
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