Jim Bryant of Trajectory.com argues that advancements natural language processing leading to keywords may unlock a revolution in book discovery.
Using advanced language processing Trajectory adds nuanced detail to book metadata, offering analytics for intensity and sentiment, among other qualities.
In its new white paper, Danish publishing consultancy Schilling challenged executives to answer “what should a publishing company built from scratch look like?”
Lisa Buchan of SmackFiction explains the process of building and piloting a new app for Young Adult and New Adult book discovery in New Zealand and Australia.
The New York Public Library has launched a new online book recommendation engine powered by Bookish Recommends from New York digital startup Zola Books.
In the age of the internet, online promotional videos offer the best opportunity for persistent book discovery, argues Gabriel Pena i Ballesté of Bookmovies.tv.
When you’re shopping for gifts, try getting a recommendation from an actual human expert at your local bookstore, suggests Ross Ufberg of New Vessel Press.
Germany’s Skoobe, Flipintu and LOG.OS are bringing fresh ideas and insight to helping German readers find their next book to read or buy.
Instead of mining data or listening to a chorus of friends, Describli founder Laura Fredericks says we should look at how people found books in bookstores.
Startup Nextread.me promises to combine the best of social media book discovery and bargain book shopping.