Approach to Building a Book Recommendation System
  • Author(s): Jayank Tyagi ; Vandana Choudhary ; Namita Goyal
  • Paper ID: 1703987
  • Page: 30-36
  • Published Date: 10-01-2023
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 6 Issue 7 January-2023
Abstract

Every day, the Internet gets smarter. Your favourite websites seem to have a premonition of what you'll like before you've even seen it. The item you may have forgotten or meant to add before checking out is almost magically discovered by the online shopping cart that is keeping your purchases. These web applications seem to read your mind, but do they really? It seems that more arithmetic than magic is involved in anticipating a user's preferences. While a lot of people and companies struggled in 2020, book publishers only saw a slight decline and actually witnessed growth in many areas. People searching for ways to combat anxiety and boredom when confined indoors turned to the tried-and-true remedy of literature. In 2021, reading improved, with voracious readers consuming more books overall. So, with this project we decided to apply this seemingly magical technique of recommendations to one of the most conventional forms of media which is books.

Keywords

Internet, Websites, Online shopping, Web applications, User preferences, Book publishers, Reading, Recommendations, Media, Books

Citations

IRE Journals:
Jayank Tyagi , Vandana Choudhary , Namita Goyal "Approach to Building a Book Recommendation System" Iconic Research And Engineering Journals Volume 6 Issue 7 2023 Page 30-36

IEEE:
Jayank Tyagi , Vandana Choudhary , Namita Goyal "Approach to Building a Book Recommendation System" Iconic Research And Engineering Journals, 6(7)