- cross-posted to:
- fediverse@lemmy.ml
- cross-posted to:
- fediverse@lemmy.ml
I found this link aggregator that someone made for a personal project and they had an exciting idea for a sorting algorithm whose basic principle is the following:
- Upvotes show you more links from other people who have upvoted that content
- Downvotes show you fewer links from other people who have upvoted that content
I thought the idea was interesting and wondered if something similar could be implemented in the fediverse.
They currently don’t have plans of open-sourcing their work which is fine but I think it shouldn’t be too hard to try and replicate something similar here right?
They have the option to try this out in guest mode where you don’t have to sign in, but it seems to be giving me relevant content after upvoting only 3 times.
There is more information on their website if you guys are interested.
Edit: Changed title to something more informative.
It might be easier to have posts be given tags and weights and have up voting and down voting change a users tags and weights and maybe have new content sorted by closeness to the users vectors space.
That way you aren’t having to track every event but instead having events update the objects values.
That would be my thought at least. Though I would think it would be best that users could sliding scale the effect. As in let the user determine how “aligned” they want the posts they see to be with them.
If this is not being done automatically by the server by analysing the content, people will not use tags, or use irrelevant tags, or fill it with tens of tags like Instagram’s early days or whatever else I cannot think of now. But I think it is not easy to work as intended
Agreed, maybe both user tags (when we use it) but mostly automatic parameter weights. For the reason you mentioned, I’m terrible at using tags personally.
Admittedly I’m really studying vector databases for retrieval augmented generation (RAG) AI. So it could just be my mind seeing a nail for that hammer, but it seems like vector search between a user for posts instead of a query and documents might work
Sounds interesting.