I wanted to joke about how now is the perfect time for Petrosyan and K from Anshlag to run as candidates, but then I remembered this story from my post three years ago, when Jón Gnarr won. The rule of the “Best Party” resulted in a complete restructuring of finances, dozens of kilometers of bicycle paths were built, and schools were reorganized. Tourism growth in Reykjavik was 20%. So, who knows what such jokes might lead to…
Author: Rauf Aliev
October 17 2017, 16:22
I recommend it, a good book. The last three chapters include various standard phrases, which adds practical value to the book.
Presentations, Demos and Training Sessions. A guide to Professional English (Adrian Wallwork)
October 16 2017, 19:35
Looks serious. It’s claimed there’s a protocol issue, and either client devices or access points need to be patched. If two unpatched devices come into contact, all the traffic becomes transparent for analysis, including https. A Mitm-type attack due to protocol imperfections. They promise to present it at a conference on November 1st, the article is already available
Let’s see if it’s as bad as the authors claim.
October 15 2017, 21:08
The third and fourth parts of my presentation at SAP Moscow. Last time it was about search analytics, this time it’s about phrase synonyms and automatic facet identification based on search queries. A pair of videos, 10 minutes each,
Welcome to all those interested.
Videos in Russian and English. The English version includes voiceover + subtitles.
October 14 2017, 23:53
Music Memos for iOS – an amazing thing! You play a tune, and it automatically adds accompaniment, guitar and drums, identifying the chords and tempo on the fly. I quickly played “Summertime,” and here’s what happened. Highly recommend!
October 14 2017, 16:58
Shelves from Barnes & Noble near the house. A stand about Russia
October 13 2017, 19:32
You surely know that nowadays, under the threat of hefty fines, websites are obliged to warn about the collection of info, cookies, etc. Some do this with a standard disclaimer, “We collect some data here, if you don’t trust us, please leave the site”. But on the website
, I saw how the right products for this purpose operate – TrustArc Cookie Consent Manager. It displays all services and allows selectively turning them on and off. The list turns out rather large, but also intriguing. It’s fascinating how many services large sites use to better sell products and to better know and track us.
Quite a list, huh?
Acxiom (acxiomapac.com)
Adobe Marketing Cloud – Advertising Services (everesttech.net)
Amazon Ad System (amazon-adsystem.com)
Connexity, Inc. (connexity.net)
Delego Software Inc. (sap-isp-public.delego-cloud.com)
Google Inc. (storage.googleapis.com)
Microsoft Advertising (bat.bing.com, bing.com, c.bing.com)
OnAudience.com (onaudience.com)
Outbrain (outbrain.com)
SAP SuccessFactors Inc (rmk-map-12.jobs2web.com)
The Church of Jesus Christ of Latter-day Saints (eaexplorer.hana.ondemand.com)
Visual IQ (myvisualiq.net)
Walmart (beacon.walmart.com)
Wayfair (wayfair.com)
YaaS (profile.yaas.io)
AdGear Technologies, Inc. (adgrx.com)
Adbrain (adbrn.com)
Adelphic Mobile (ipredictive.com)
Adform (adform.net)
Adition Technologies AG (adfarm1.adition.com)
AdotMob (adotmob.com)
AudienceOne (impact-ad.jp)
AudienceScience, Inc. (revsci.net)
Beeswax (bidr.io)
Bidtellect (bttrack.com)
BrightRoll, Inc. (btrll.com, geo-um.btrll.com)
Cardlytics (cardlytics.com)
Centro DSP (sitescout.com)
Conversant (dotomi.com)
Digital Advertising Consortium Inc. (y.one.impact-ad.jp)
Fluct (adingo.jp)
Geniee (gssprt.jp)
GetIntent (adhigh.net)
InfoLinks (infolinks.com)
Jivox (jivox.com)
Lifestreet (lfstmedia.com)
Ligatus (ligadx.com)
LinkedIn (px.ads.linkedin.com)
LiveIntent, Inc. (i.liadm.com, liadm.com)
Media Innovation Group (MIG) (ibeu2.mookie1.com, mookie1.com)
MediaMath (mathtag.com)
Nativo (postrelease.com)
OpenX (openx.net)
OwnerIQ (owneriq.net)
PulsePoint (contextweb.com)
RadiumOne (gwallet.com)
RhythmOne (formerly Burst Media) (1rx.io)
Rockerbox (getrockerbox.com)
Rocket Fuel (formerly [x + 1]) ru4.com
ScaleOut (socdm.com)
Sharethrough (sharethrough.com)
Simpli.fi Holdings (simpli.fi)
Skimlinks (skimresources.com)
Smaato (smaato.net)
Smart AdServer (smartadserver.com)
Smartclip (sxp.smartclip.net)
SpotXchange (spotxchange.com)
Switch Concepts (delivery.swid.switchadhub.com, switchadhub.com)
Taboola (taboola.com)
Teads.tv (teads.tv)
TellApart, Inc. (tellapart.com)
TripleLift (3lift.com)
Turn Inc. (turn.com)
Twitter (cdn.syndication.twimg.com)
erne.co, omnitagjs.com, s3xified.com
Yahoo (yahoo.com)
Zemanta (zemanta.com)
engage:BDR (ebdr3.com)
i-Behavior (global.ib-ibi.com)
sovrn (formerly Lijit Networks) (lijit.com)
October 13 2017, 12:41
October 13 2017, 08:02
In this headline absolutely everything
October 13 2017, 00:35
Tonight I made good progress in data mining & machine learning. I recommend Weka to everyone interested in the subject. It’s a math library with console tools, around which there is also a convenient graphical UI.
As a training exercise, I took 5000 products with 1800 characteristics from eBay (which is only 0.25% of their database), and clustered them based on characteristics alone. The outcome was separating items like cases separately, laptops separately. New products are correctly identified into the right group, hooray.
I also played with Time series forecasting. I uploaded search queries by day over the last couple of weeks. Weka provides estimates on the number of queries for the coming days. Cool, useful. For outliers beyond the original range, some sort of notifications could be devised, indicating a significant rise or fall.
There’s a database of 550,000 records from an online store (order number, product number, price, user number, date, time). I’m still not quite sure how to extract new knowledge from these through machine learning algorithms. Everything that comes to mind seems to be doable without much complexity. Any ideas?
Hi, I'm Rauf Aliev. 