We released our category recommendation AI last week, and it has been a huge success. Just to recap if you missed it: Savant is able to “read” your content file (epub or docx) upon upload, and guess the most relevant BISAC categories. The task of finding the most relevant BISAC categories is one of the most daunting beginner authors face. There are several hundreds of available options, and it feels like you need to know them all to make a relevant choice. (Read more about BISAC categories here.) This is where Savant comes in the picture. But how does our book categorization AI work? We asked data scientist Mór Kapronczay to explain us the background processes and tell us more about how he built this feature that is truly unique in the ebook market.
Congratulations on your achievement! Where did the idea of a book categorization AI come from?
Thank you very much! Actually, the idea is not mine: I was hired for this particular job, almost exactly a year ago. It was Róbert Csizmár, our CTO who thought that an AI could be built for this purpose. I agreed and got to work.
What is your background? Are you a developer?
No, I am in fact an economist, with specialization in empirical finance. I have a Finance & Accounting BA, and a Finance MA with a Specialisation in Investment Analysis from Corvinus University of Budapest. I learned a lot of statistics and econometrics there. In addition to that, I had the opportunity to be a part of Rajk College for Advanced Studies, where I could learn programming and algorithm design, and Machine Learning. I instantly fell in love with both.