For a year or so now, I've been supporting the book recommendation website, Shepherd.com and every so often sending in emails to the founder about "hey, this needs a fix" or "that book really doesn't belong in that category". Shepherd.com is a work in progress - already a good place to go to browse virtual bookshelves - and being worked on to make it better yet.
Anyway back to the automation of book recommendations - I get replies from Ben Fox of Shepherd, saying "oh yes, that happened because ......" . Just learned that in fact he has been blogging about the development for a while (how did I miss that) and the blog is here:
A chunk of the problem is the underlying book data, so for anyone who has said why did Amazon/Goodreads/Whatever recommend that book to me because it is nothing to do with anything I've read, or nothing to do with the other books in the recommendation list, here are a few answers as pertains to the available book data, and also how Shepherd.com is working on handling it. (Not saying that Amazon/Goodreads are using the same methods as Shepherd, but they do have data sources in common.)
Anyway back to the automation of book recommendations - I get replies from Ben Fox of Shepherd, saying "oh yes, that happened because ......" . Just learned that in fact he has been blogging about the development for a while (how did I miss that) and the blog is here:
A big focus for 2024: Improving genre & topic accuracy (and expanding that system).
It is a trickier problem then you think...
build.shepherd.com
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