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PageRank

PageRank

Search complete. 48 mentions across 32 episodes found for "PageRank".

Sep 18, 2026

Ali GhodsiGUEST
49:14
So the ontology is that we need to compute that index offline all the time.
Ali GhodsiGUEST
49:21
Um, so it's almost like the PageRank algorithm that Google had invented back in the day, but it's more complicated.
Ali GhodsiGUEST
49:26
'Cause Google was just looking at a web where everybody can go on the web.
Ali GhodsiGUEST
49:30
Here, there are permissions.
speaker_0NARRATOR
2:32
And that's where Databricks' ontology approach comes in? Exactly.
speaker_0NARRATOR
2:36
He describes it as computing an index offline, similar to Google's PageRank, but tailored for organizational data, so agents can act faster with better privacy controls.
speaker_0NARRATOR
2:47
At Databricks, that system has reportedly changed how decisions get made.
speaker_0NARRATOR
2:51
He also talks about the value story alongside the risk story, right? Yes, he points to crisis support tools, insulin optimization, drone delivery, and drug discovery as examples where AI is already helping.
Liam DunneGUEST
24:52
So I think there's that perspective, is the long-tail distribution means we can create relevant content, um, that targets there.
Liam DunneGUEST
24:59
And then I think there's the authority, uh, consideration is, okay, well, if everyone has relevant content, how does the model then reason over who to trust? Who does it decide who to trust? Um, historically, with traditional SEO, you know, we look at PageRank.
Liam DunneGUEST
25:18
Um, it's, you know, um, how we know Google assesses authority of pages and domains.
Liam DunneGUEST
25:23
Again, it's, it comes down to consensus.
James DooleyHOST
0:05
Now this just means that harmonic centrality has become way more important than ever.
James DooleyHOST
0:11
Some people might be listening to this and saying it's always been important, but many people in the SEO industry are obsessed with DR or PageRank distribution.
James DooleyHOST
0:21
But now with regards to being cited in the LLMs, we now have information, factual information to say, that the LLMs are using it as part of their training data.
James DooleyHOST
0:32
I'll give you one or two little examples.
James DooleyHOST
0:05
Now, this just means that harmonic centrality has become way more important than ever.
James DooleyHOST
0:11
Some people might be listening to this and saying it's always been important, but many people in the SEO industry are obsessed with DR or PageRank distribution.
James DooleyHOST
0:21
But now with regards to being cited in the LLMs, we now have information, factual information to say, That the LLMs are using it as part of their training data.
James DooleyHOST
0:32
I'll give you one or two little examples.
Sailesh KrishnamurthyGUEST
34:26
Because I have this big monstrous graph, I wanna keep finding out what are those sets of related people, right? What are these communities? It's, what are the clustering things that you're trying to do? And once you detect these suspicious clusters, some of them may be suspicious, some of them may be not, you can now, you want to zero in on who are the most influential people within that suspected cluster.
Sailesh KrishnamurthyGUEST
34:49
Now, you can squint at this problem and say, "What is this like?" Actually, it's just like PageRank.
Sailesh KrishnamurthyGUEST
34:53
In fact, it is PageRank.
Sailesh KrishnamurthyGUEST
34:55
You can run PageRank on the nodes within that cluster.
Sailesh KrishnamurthyGUEST
34:58
And so although PageRank was originally for web pages, it's actually really very, very good at identifying who are the most influential nodes or the central nodes in the network.
Sailesh KrishnamurthyGUEST
35:07
So not only can you figure out here is the colluding set, you can now zero in on your actual problem space.
Sailesh KrishnamurthyGUEST
35:14
So I think this is a, kind of a great, great example of how you could actually run these things, and it's really valuable to be able to do this in situ without having to move this to some other system.
Sailesh KrishnamurthyGUEST
35:49
They can potentially flag or block transactions, and this way the real time comes in.
Ben WittesHOST
18:52
I want all AIs, I want Grok to train on it because the alternative is that it's going to, you know, train on Mecca Hitler stuff, right?
John HawkinsonPANELIST
19:05
So do these LLMs have a concept like Google's PageRank where they assign some sort of quantitative value to particular websites? And do you know where Lawfare falls in that scheme of the general internet?
Ben WittesHOST
19:17
So I know the general answer to that question, but not the specific answer.
Ben WittesHOST
19:22
So the general answer is yes, they have very elaborate systems of—at least the good ones have very elaborate systems of— sites and data for quality, and that's so that, you know, Claude and ChatGPT can deliver higher quality information.
Edward SturmHOST
2:34
The more, the merrier, apparently.
Edward SturmHOST
2:36
I still have to break 30 links on a single page, but I just don't see that being a problem." So this post doesn't address PageRank dilution, which means the more links you have on a page, the less authority each link gets because the authority is being diluted among links.
Edward SturmHOST
2:53
But there's this 2012 experiment from Dan Petrovic where he tested if having a back link from a high authority page still passes meaningful ranking value when that page has 4,225 followed outbound links.
Edward SturmHOST
3:08
And get this, the linked test site jumped from position 79 to number three within about three weeks, which showed that even with thousands of outgoing links, the back link still had a strong ranking effect.
Edward SturmHOST
3:22
The test is called the PageRank Split Experiment.
Edward SturmHOST
3:25
And all of this flies directly in the face of what people have been saying with PageRank dilution.
Edward SturmHOST
3:30
But we're gonna dig into why this might be the case in a little bit when we talk about Google's patent on this.
Edward SturmHOST
3:35
This Black Hat World post continues, and you're gonna love this one.
Salim IsmailPANELIST
68:32
It, uh, uh, set it free and let it do its thing.
Salim IsmailPANELIST
68:35
I lo- I use the analogy of PageRank, which scans billions of web pages to kind of create a, a signal for noise.
Salim IsmailPANELIST
68:42
That's a completely, uh, complementary model to human intelligence, not replicative.
Salim IsmailPANELIST
68:48
Uh, the, the fact that we can kind of, uh, create a huge amount and solve legacy problems that we've not been able to solve, I think it's just, it's just fantastic.
Srini VaradarajanGUEST
27:38
Yep, yep.
Hugh SeatonHOST
27:39
That was kind of the, the, the PageRank thing that Google did, you know, 20, 20 years ago, to be honest.
Hugh SeatonHOST
27:45
[laughs] Sri, I, I love this.
Hugh SeatonHOST
27:46
I, I could do this all day long.

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