indyank - 3:49 am on Oct 10, 2012 (gmt 0)
I am not saying that they are using those predictive methods for arriving at user metrics but we never know.
However, the research paper is a good read as it tells us how they are convinced user metrics like bounce rate are good tools for judging user satisfaction.
Also it is an interesting read on how mean bounce rates vary by language and by particular keyword.
"mean bounce rates vary significantly by particular keyword. Navigational queries, such as those
containing specific business names, result in very low bounce
rates. Commercial terms, such as books and flights, also
have low bounce rates. Entertainment oriented terms such
as games and chat exhibited much higher bounce rates.
In general, there is a rough inverse relationship between
keyword popularity and mean bounce rate for that keyword.
This may be because the greater competition for these more
popular keywords creates a need for these competing adver-
tisers to achieve higher standards of quality."
I think I am repeating what I posted here more than an year ago, but since we are again trying to find answers on what user metrics google might be using and how they could be collecting them, I though posting it again would be helpful.