Good Day,
Please i want you to assist me in investing USD$15.5 Million which i inherited from my late parents. I lost my parents during political war here in Ivory Coast, I am 30 years old and have no business idea,i would like you to help me get this fund invested while i continue my education in your country. "PLEASE REPLY TO MY PRIVATE EMAIL BELOW" email me at (jarvi.kosowan(a)aol.com)
Best Regards,
Jarvis
Good Day,
Please i want you to assist me in investing USD$15.5 Million which i inherited from my late parents. I lost my parents during political war here in Ivory Coast, I am 30 years old and have no business idea,i would like you to help me get this fund invested while i continue my education in your country. "PLEASE REPLY TO MY PRIVATE EMAIL BELOW" email me at (jarvi.kosowan(a)aol.com)
Best Regards,
Jarvis
Hi all,
The Analysis team would like to formally announce the addition of tile
usage tracking to the Maps dashboard <http://searchdata.wmflabs.org/maps/>. The
additions track daily tile usage & users by style and zoom level.
We'd like to give a shot-out to Maps team's Yuri Astrakhan, who
collaborated with us on the data extraction scripts. Teamwork is magic.
Cheers,
Mikhail Popov on behalf of the Analysis team
Hi all,
The Analysis team would like to formally announce the addition of a couple
of metrics to the Search Metrics dashboard
<http://searchdata.wmflabs.org/metrics/>.
First, we added the Augmented Clickthroughs (the metric formerly known as
User Satisfaction):
http://searchdata.wmflabs.org/metrics/#kpi_augmented_clickthroughs This is
an average between the clickthrough rate and the proportion of user
sessions' dwell times passing a pre-specified threshold. Going forward, we
plan on obtaining qualitative user-provided feedback which will allow us to
use this metric to estimate User Satisfaction.
Second, we're now using survival analysis methods to estimate and summarize
page visit times: http://searchdata.wmflabs.org/metrics/#survival These
metrics are the times at which we lose 10%, 25%, 50%, and 75% of our users
on pages they got to from the search engine results page. For example,
consistently only half of our users make it past the 75 second mark.
We'd like to extend a special thanks to Erik Bernhardson, who was crucial
in the implementation of the data collection mechanisms that enabled us to
construct these metrics.
Cheers,
Mikhail Popov on behalf of the Analysis team
David's work on the common terms query is merged and will be deploying this
week. It's hidden behind a feature flag so no user visible change will
occur.
I thought we had decided on an A/B test to check the usefulness of this
approach but I can't find anything in phab. So the question is, how do we
want to AB test this? It will be easiest to run this test through our
backend AB testing infrastructure, i think we just need to choose a
sampling rate.