If you are a regular visitor to the New York Public library to browse their selection of eBooks, you are in for a treat. There is a new discovery engine added to search that will offer algorithmic book recommendations.
The new search engine is a product of the libraries new relationship with Zola Books. Zola, is using technology from Bookish, which is a company they recently acquired. Bookish failed to get any traction in the industry, but was a pet project launched by Hachette, Simon & Schuster and Penguin. Publishers recognize there is a problem with eBook discovery and this Bookish program was thought to have solved it.
How exactly does the eBook discovery platform work? Bookish Recommends uses an algorithm that identifies recommended books based on similar characteristics. Unlike recommendations that are derived from what other readers are checking out, the Bookish engine matches users to books based on dozens of attributes and filters out irrelevant titles. Users visiting the Library’s online catalog can find recommended books by clicking on a selected title to see a set of related titles that might be of interest.
When you visit the New York Public Library site and search for a book title, there will be recommendations now on the right hand side. Not all books in the system have the expanded search feature yet, but most do.
Michael Kozlowski is the Editor in Chief of Good e-Reader. He has been writing about audiobooks and e-readers for the past ten years. His articles have been picked up by major and local news sources and websites such as the CNET, Engadget, Huffington Post and Verge.