A service to

  • match readers with books based on what books they’ve liked in the past
  • help publishers target a particular book to readers who will likely read/buy the book
  • help publishers predict the quality of a book

How we make the above work:

  • Use a innovative book rating system that is based on deep examination of the key characteristic of fictional writing - (Plot, Characters etc.) to establish rating/performance of published books

  • Use machine learning algorithms to match readers to books that they will like

  • Use machine learning algorithms to match newly published books to readers

  • Use machine learning algorithms to predict quality of new books based on historical data( i.e already published books)

Share this project:

Updates