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Enrico Altavilla
7,631 followers -
Atypical search marketeer. I optimize stuff.
Atypical search marketeer. I optimize stuff.

7,631 followers
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"Mitologia SEO", il mio secondo eBook! :)  Gratis e scaricabile. Accomodatevi.
 
http://it.enricoaltavilla.com/pubblicazioni/ebook-mitologia-seo/

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Hello +John Mueller. Do you want to see a strange Google behavior to report to the engineers? Here it is. :-)
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Mi sono ricordato che esiste Google+. :D Io la prossima settimana faccio uno speech all'SMXL di Milano. Nel video spiego di che cosa parlerò (nella thumbnail ho proprio una faccia da cazzo :D ). Spero di vedere là un po' di amici e colleghi. A presto!

Titolo dello speech:
"Google Search e la (scarsa) intelligenza artificiale"

Descrizione:
Dopo il "dictat" del CEO di Google di adottare tecniche di intelligenza artificiale per tutti i prodotti e servizi, che cosa è realmente cambiato per la search e la SEO? E che cosa ci aspetta nel prossimo futuro? Questa sessione fornirà le basi di come l'IA sta modificando i risultati di ricerca di Google e di che effetti una sua inevitabile estensione avrà sul modo di fare SEO.

Video:
https://www.youtube.com/watch?v=WXEeiEfyAp8

Sito dell'SMXL:
http://www.smxl.it/

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[SEO] Do you have any idea of what this search query actually shows?

https://www.google.com/search?q=site%3Ahttp

Maybe +John Mueller could shed a light?
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I backed on Kickstarter this beautiful vintage map of the Mandelbrot set.

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" Click-through data has proven to be a critical resource for improving search ranking quality. Though a large amount of click data can be easily collected by search engines, various biases make it difficult to fully leverage this type of data. In the past, many click models have been proposed and successfully used to estimate the relevance for individual query-document pairs in the context of web search. These click models typically require a large quantity of clicks for each individual pair and this makes them difficult to apply in systems where click data is highly sparse due to personalized corpora and information needs, e.g., personal search. In this paper, we study the problem of how to leverage sparse click data in personal search and introduce a novel selection bias problem and address it in the learning-to-rank framework."

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Check out another great illustration by Jakub Rebelka! http://goo.gl/FFs7Pc
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