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Google's PageRank patent has expired (2019)

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Re: Google's PageRank patent has expired (2019)

#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 niche", where a new page might do well for plumbing (because of other existing pages on the site), but wouldn't automatically have any authority for medical topics.

Re: Google's PageRank patent has expired (2019)

#8
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…

Where can I learn more about all these models you mention?

Re: Google's PageRank patent has expired (2019)

#9
post #4

Revolutionary at the time - but have there have been any new breakthrough strategies/algorithms for search in the last decade?

In general the biggest breakthrough in that space has been machine learning powered relevance scoring and NLP. PageRank worked by using high level metadata (links between pages). We now have methods that can incorporate metadata information and analysis of the content itself.

Re: Google's PageRank patent has expired (2019)

#10
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…

And yet, the results are worse and worse.
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