Google's PageRank patent has expired (2019)

Post by mkl » Wed, Jun 01, 2022, 2:21 PM UTC

NoGravitas wrote: post #26

dontbenebby wrote: post #16

Earlier quoted context omitted.

To be fair, they don't seem to teach the next generation about search operators. I've found just using quotes, OR/AND, and some other basic stuff can often get me what I need. The place where Google does well is that they're a monopoly, so things like image search that require a lot of resources, they are better at, especially paired with their geographic location. (USA! USA! USA!) Edit: I hit enter and the post went…

I've found search operators and quotes are less and less effective — especially on Google, but on other search engines as well — as time goes on. I think OR/AND were removed a long time ago, and things like + and quotes aren't effective, because they're still subjected to the same processing (stemming, synonym substitution, whatever ML nonsense Google does) as plain queries. So in general, you don't get what you're s…

Post by dylan604 » Wed, Jun 01, 2022, 2:22 PM UTC

aneil wrote: post #15

How did they even get that patent? It's a well known 70s era bibliometric algorithm.

Post by KptMarchewa » Wed, Jun 01, 2022, 2:24 PM UTC

creamynebula wrote: post #32

tyingq wrote: post #5

I'm not sure how useful this might be to anyone anymore. Google still uses it for the base ranking. But, the results are then run through a variety of add-on ML pipelines, like Vince (authority/brand power), Panda (inbound link quality), Penguin (content quality), and many others that target other attributes (page layout, ad placement, etc). Then there's also more granular weightings for things like "power within a n…

My search results were a lot better in 2006 when, I assume, they didn't have all these ML pipelines...

Post by blip54321 » Wed, Jun 01, 2022, 2:24 PM UTC

creamynebula wrote: post #32

tyingq wrote: post #5

I'm not sure how useful this might be to anyone anymore. Google still uses it for the base ranking. But, the results are then run through a variety of add-on ML pipelines, like Vince (authority/brand power), Panda (inbound link quality), Penguin (content quality), and many others that target other attributes (page layout, ad placement, etc). Then there's also more granular weightings for things like "power within a n…

My search results were a lot better in 2006 when, I assume, they didn't have all these ML pipelines...

Post by jjoonathan » Wed, Jun 01, 2022, 2:27 PM UTC

tyingq wrote: post #36

creamynebula wrote: post #32

Earlier quoted context omitted.

My search results were a lot better in 2006 when, I assume, they didn't have all these ML pipelines...

My view of it is that they basically lost the SEO spam wars. Without the ML pipelines, the top results would all be dominated by the smaller, highly skilled, SEO manipulators. They didn't find a way to cleanly excise that spam, so they resorted to a very imperfect hammer...giving a lot of SEO weight to large corporate entities. So basically, a different kind of spam dominates now.