this post was submitted on 28 Dec 2023
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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.