What are Recommendations?
The site tries to automatically determine which kind of stories or series you like, based on:
- On which stories you’ve clicked “Favorite”
- Which stories you’ve rated favorably
- Which stories you’ve read
Where "clicking Favorite” is a much stronger indicator than just reading a story, of course.
The algorithm tries to find stories
- Using the same category as your most liked stories
- Are written by the same Author as your most liked stories
- Use the same tags as your most liked stories.
Using all this, the site can get an idea of what you like and what you don’t.
Of course, this is not rocket science; it’s just statistics, and of course, the algorithm can get it all wrong.
Important:
The more feedback you give us, i.e. the more your read and, most importantly, rate and use the “Favorite” button, the better the recommendations will become!
Where are the recommendations shown?
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On the main page, there is a tab “For You”:

In that tab, you’ll always find a random selection of stories/series we hope might be interesting for you. You can click the “Update” button to get a new random selection.
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In the menu under “User→Recommendations For You”
There you’ll get a list of 100 recommended series, starting with the series the system believes fits your taste the most. -
If you’ve read a story, at the bottom you’ll get to see a list of 3 series which are similar to the one you’ve just read and which should fit your taste.
BUT
To unlock that list, you have to rate the story you’ve just read! That’s our incentive for you to rate the stories you’ve just read!
(Pssst, don’t tell anyone, but commenting on the story or clicking “Favorite” will also unlock that list of those three recommendations!)
It’s important to note that any series you’ve already read completely will not be suggested. If you’ve read some chapters of a series, but not all, it will remains a candidate for recommendation (actually based on the tags of the chapters you haven’t read).
I really don’t like that series the system keeps recommending!
Nothing is perfect, and the algorithm can definitely get it wrong, as it’s just based on tags. No one ever claimed that every story tagged with your favorite tags is really to your taste.
But the system will keep suggesting it to you, which can be annoying, and it also takes up space for another story that should be recommended instead.
That’s why there is an option to tell the system that you don’t want a given story or series ever to be recommended to you again.
Every recommended series has this indicator in its title:

If you don’t want to see that series recommended, just click that golden “sparkle” indicator. It will become red, which means that this series is now blocked for you.
I hope you like this! The algorithm can and will be improved, so please let us know if you have questions or suggestions about it!