Wednesday, September 6, 2017

eHarmony and Alexa team up to make finding a date that much more weird ???

about article: eHarmony's much-needed redesign saves it from being 'antiquated'

article: Why Brands Need to Understand Personalities in Order to Leverage AI’s Potential

Please DO NOT mistake  "artificial intelligence" with a proposal like a Personality Based Recommender System.

Contradictory information from eHarmony and PROOF of FRAUD from the papers they had published using the OBSOLETE NORMATIVE PERSONALITY TEST BIG FIVE.

Proof eHarmony is intoxicated with "Big Data Analysis"
Another FRAUD from eHarmony "What are the odds of love? Rachel Riley reveals all"  

eHarmony is a 17+ years old obsolete site.  The success rate of eHarmony is less than 10%.
eHarmony is only supported by a big marketing budget and not by serious scientific evidence.
The Big Five normative test used by eHarmony and its copycats, had been proven/revealed as an incomplete and incorrect model to assess/measure personality of persons.
Now it is a HOAX, a FRAUD to use it (year 2017) 

eHarmony is in big war with its copycat, EliteSingles since May 2012, after former eHarmony's CEO refused to fully acquire its mother company Affinitas GmbH.

eHarmony CEO and article "The Online Dating Industry is Growing and Evolving"
eHarmony was copycatted in several countries like
the online dating sites EliteSingles in Canada, Australia, USA, UK, Chile, Mexico; eDarling in Spain, German, France, Russia;
also TeAmo in Russia is another copycat of eHarmony;
esync (eSynchrony) in Singapore,
MiMediaManzana in Colombia, Peru, Mexico, Chile, etc.,
Marrily in India
and now
LemonSwan in Germany and other countries.

Very easy to copycat eHarmony, but very difficult to innovate: a 100 times better algorithm than eHarmony.

Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.


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