I'm on the record that I'm among the extreme minority who don't trust and don't like these extensive tags on Mangadex.Mangadex needs a way more extensive tagging system before a recommendation system based on tag similarity is going to work well. (Look at how many different tags MangaUpdates has.)
At the very least, it needs to take your filters into account. I shouldn't be opening a wholesome manga and being flashed with nearly-naked drawings because both manga have "romance" or "full color". I'm surprised they rolled it out like this.
SUCH MAGNIFICENT AND GREAT NEWSI think a better feature would be giving users the ability to recommend similar manga, like how MAL does it, ૮o.o ა rather than it being automated ૮ .ᆺ. ა
"Hey since you liked Solo Leveling, why don't you try out Gal Cleaning? They are quite similar."I think a better feature would be giving users the ability to recommend similar manga, like how MAL does it, ૮o.o ა rather than it being automated ૮ .ᆺ. ა
They both went to shit in a hurry so that checks out.
And both are about cleaning floors, don't forget that.They both went to shit in a hurry so that checks out.
It was available in the API since the end of last month actually.Also it's showing Porn recommendations for normal manga?
/manga
endpoint with the filters.May be due to title ID of some kind always pulling in a particular sort order. Or not. I'm not a dev/coder/computer program writing guy.I've stumbled onto what seems like an insular block of recommendations --that is, each of the titles within it recommends the others in the exact same order. I don't see this behavior across most other titles except for ones that recommend this particular block. Curious. I guess it would save processing requirements to have prefab sets of recommendations rather than generating them for individual titles.
The recommendation is probably stored in the database and recomputed if a staff or a contributor changes the tags of a given title.I guess it would save processing requirements to have prefab sets of recommendations rather than generating them for individual titles.
In a nutshell, the recommendations system only includes tags (content rating, demographic, authors, groups are not included).