Interview mit Matt Cutts zum Farmer & Scraper Update (Google-intern: Panda Update): https://www.wired.com/epicenter/2011/03/ ... tes-farms/
Die interessantesten Teile:
Wired.com: How do you recognize a shallow-content site? Do you have to wind up defining low quality content?
Singhal: [...] We wanted to keep it strictly scientific, so we used our standard evaluation system that we’ve developed, where we basically sent out documents to outside testers. Then we asked the raters questions like: “Would you be comfortable giving this site your credit card? Would you be comfortable giving medicine prescribed by this site to your kids?”
Cutts: [...] “Do you consider this site to be authoritative? Would it be okay if this was in a magazine? Does this site have excessive ads?”[...]
Singhal: And based on that, we basically formed some definition of what could be considered low quality. [...]
Wired.com: But how do you implement that algorithmically?
Cutts: I think you look for signals that recreate that same intuition, that same experience that you have as an engineer and that users have. Whenever we look at the most blocked sites, it did match our intuition and experience, but the key is, you also have your experience of the sorts of sites that are going to be adding value for users versus not adding value for users. And we actually came up with a classifier to say, okay, IRS or Wikipedia or New York Times is over on this side, and the low-quality sites are over on this side. And you can really see mathematical reasons …
Wired.com: Some people say you should be transparent, to prove that you aren’t making those algorithms to help your advertisers, something I know that you will deny.
Cutts: If someone has a specific question about, for example, why a site dropped, I think it’s fair and justifiable and defensible to tell them why that site dropped. But for example, our most recent algorithm does contain signals that can be gamed. If that one were 100 percent transparent, the bad guys would know how to optimize their way back into the rankings.