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Custom Review Scale
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xandradeJun 26, 2025
As it is now, the personalized recommendations seem to pull from your average ratings to determine what is a low or high score. However, I am more likely to choose a book I think I will like, so of course most of my books are rated 3 stars or above.
This becomes a problem when the AI says something like "This book has _____ theme, which is present in your lower rated reads (Title, 3.75 stars)"
If we could establish a custom (or even if a general one was established) scale for what our ratings mean the AI could compare it to that instead, which would be helpful.
Comments
Yes, this would be great! My reviews are consistently a skewed bell curve (for me a 3.5 stars rating is the median, a smattering of books are 5 stars which means I freaking loved them, and I have very, very few books at 1.5 stars/below because I am actively avoiding those books/authors or DNF)
I know some readers may rate books differently (such as my friend who says almost every book is 5 stars), so if the AI could pay attention to the distribution of previous ratings and use that to adjust the recommendations (or allow the user to set on a scale that a rating of X or above is considered good), that would be awesome!
Okay I like this idea! The AI kept being like, "your lower rated books like X, which you rated 4 stars," and I was like, um, that means I liked it!
Feedback passed on to Rob!
Are we on the same reddit post? Just came here to submit this exact idea xD I envision this as a slide option where you can set each number as a limit of whether you liked it or not.
IE: ratings 1 - 5 with all the quarter stars. I can set my limit of what I consider a low-rated book to be referenced in personalized recs to 2 or under, and highly rated as 4 or higher. Anything in between is a sort of "no strong feelings" or "may or may not like this element" kind of input for the recs.
jenniferforjoy haha we may be! The one about the AI recommendation for a book I didn't like? That's my post!