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It has a tendency to recommend books in the same series as are input (putting aside that if I like a book in a series I've likely already read the series).

It did suggest Murderbot Diaries (not on the input but a series I have read and did like) and an Adrian Tchaikovsky I hadn't read :).

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It's explicitly trained to predict the next book read in a sequence, which is why you get that behavior. There's probably a better way for me to handle it rather than having 5 books from the same series tend towards the top though.

If you have the data to know the other books in a series maybe split the results so you have "books in series" in one column and "books not in a series mentioned" in the other but other than that it did a better job than Kindle recommendations which are often hilariously off the mark.

Yeah the hardest problem for recommendation systems is to find non-Star Wars books which are like some specific Star Wars books and unlike some other Star Wars books. I would say it's AGI-complete ;)

Ironically that is one of the few uses where I've found an LLM to actually be useful.

ChatGPT does a fairly good job at letting you negate/refine whatever it was you where looking for.

I would expect a recommend of Star Trek if it were AGI-complete just to troll

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