So I made a twitter bot that when tweeted with the name of the last book you read will tweet back with a new book to read.
Feel free to take it for a spin.
Not sure what's of interest here unless you want to share how the book recommendation works.
Basically it parses the tweet extracts relevant keywords, finds the top book.
Then it finds the similar books and then tweets the result.
Parents asked "how the book recommendation works". Your answer isn't really enlightening: The key here would be how you find similar books that are really recommendable and (especially if you are addressing vivid readers) how you try to minimize recommendation loops and dupes.
What database or training did you use to find similar books?
How is this different/better than Amazon recommendations ?
Amazon doesn't tweet book recommendations and you won't to deal with a lot of stupid suggestions.
The bot automatically selects the best book and tweets it out.