- Oct 9, 2013
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this makes sense, but then how can we explain the downfall in search quality that we've been experiencing for the last several years.
I've personally not used google (extensively, because otherwise I do use it once in a blue moon when the other SEs don't provide good results) for years, and part of that (despite of my non-dying hate for this company) is because of the quality of their main product (well, main product as perceived by its users, otherwise google are probably considered something different than search as their main product).
So, it's not just my never-dying hate towards this company, it's also the quality of their main product, which means that me (and most definitely many other users too) are not satisfied by the google product anymore as lots of us have gone to other SEs, which means that things are not quite right despite of the numerous updates which should improve the product, right? Not make it worse...
That's another discussion and that's waaaaay too broad to try to pin down to embeddings.
The whole search landscape has changed. The whole world has changed! post-covid, post-AI. There's so many confounding variables. We couldn't possibly attempt to pin this down on the theory of embeddings for ranking.
when you say "by seeding" I don't suppose you mean that google are manually labeling sites as being trustworthy, right? This would be ludicrous, but for me - as a non-native English speaker - that's what the word "seeding" means... which is probably where my confusion stems from...
It's absolutely manual.
It's been like this for a long time.
But think about how it works. *seeding*
If I have a room with 1000 people, and all those people are going to talk and share info and recommend each other, who do I know who to trust?
I could manually rank them all.
Or
I could seed 10 people as trusted.
The people those people recommend, I can trust.
The ones those ones recommend I can also trust.
And so on. The further away I am from the seeds, the less trust.
This is how it works.
no idea what those embeddings are, it's the 2nd time I hear you mention them, but I've never heard this term before, so not sure how to interpret it (but don't explain if you don't want to, it's ok!)
Also, from reading your entire post it looks like this centroid thing is the real actor in this whole google ranking thing, everything revolves around that centroid thingy from what I understand
Anyway, you mentioned a few technical words and I'm already mentally exhausted, so not going to reply to the rest of your post, but thanks for taking the time to explain, I'm sure that less tired and more techy people will be able to understand what you've said here![]()
It's not an easy one to understand over a couple of posts unfortunately.
It's a machine learning term.
The answer is an embedding is "a representation of something in high dimensional vector space."