| I am working on a project aimed at reinventing book discovery online... my goal is to recreate the feeling of walking around a physical bookstore (but reimagined for the online world). It is called https://shepherd.com/ I launched about 10 months ago we are slowly getting there :) How does it work? I ask authors to recommend five around a topic/theme (so every book on the website is personally recommended by an author who is passionate about it). So you get some great recommendations on things like: The best books on artificial intelligence that are not full of hype and nonsense https://shepherd.com/best-books/no-hype-and-no-nonsense-arti... The best books that tell a cautionary tale about world-changing technology https://shepherd.com/best-books/cautionary-tales-about-world... The best books whose dystopian visions were eerily prescient https://shepherd.com/best-books/dystopian-visions Then, I build out bookshelves (aka topic pages) using NLP. This is very new and only 30 days old so I am still improving the engine / topics. But, it is all tied to Wikidata so you can search via Wikipedia topic (and some other cool stuff down the road). Bookshelf on artificial intelligence https://shepherd.com/bookshelf/artificial-intelligence Bookshelf on neuroscience https://shepherd.com/bookshelf/neuroscience Right now I am working to roll out a big improvement to the recommendation engine. And, then to integrate book genre data, which is a massive project. I want to be able to go to the World War 2 section and say "show me all historical fiction", or on the AI bookshelf to show me all "science fiction". Let me know what you think :) |