Watson IBM and Amazon AI solutions, pitfalls.

https://www.clarin.com/tecnologia/inteligencia-artificial-pifia-averguenza-ibm-amazon-producto-pedazo-mierda_0_H1W9godVQ.html

IBM’s Watson supercomputer recommended ‘unsafe and incorrect’ cancer treatments, internal documents show
https://www.statnews.com/2018/07/25/ibm-watson-recommended-unsafe-incorrect-treatments/

Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots
https://www.aclunc.org/blog/amazon-s-face-recognition-falsely-matched-28-members-congress-mugshots


BIG HOAX,  Watson IBM
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/artificial-intelligence-can-watson-save.html
TC article: Facebook hired eHarmony’s chief scientist… but not for its new dating feature
https://onlinedatingsoundbarrier.blogspot.com/2018/05/tc-article-facebook-hired-eharmonys.html
Viola.AI .. but Match failed with Amazon Alexa
https://onlinedatingsoundbarrier.blogspot.com/2018/01/violaai-but-match-failed-with-amazon.html
http://www.onlinepersonalswatch.com/news/2018/01/match-pulls-its-alexa-skill-giving-controversial-dating-tips.html

and Chief Scientist At eHarmony Cavorts With The ... Facebook
http://onlinedatingsoundbarrier.blogspot.com.ar/2018/01/about-chief-scientist-at-eharmony.html
  My bet: He is copycatting WATSON IBM, in same manner as Dr. Galen Buckwalter did (Soulmates.ai), but Buckwalter used the HEXACO model of personality (BIG FIVE, or OCEAN is obsolete now)

Personality Based Recommender Systems are the next generation of recommender systems because they perform far better than Behavioural ones (past actions and pattern of personal preferences)
 
That is the only way to improve recommender systems, to include the personality traits of their users.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  
 
They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  

Which is the RIGHT approach to innovate in the Personality Based Recommender Systems Arena? 
The same approach to innovate in the Online Dating Industry == 16PF5 test or similar to assess personality traits and a new method to calculate similarity between quantized patterns.
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.

High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
Without offering the NORMATIVE 16PF5 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry.

eHarmony and other dating sites are collaborating with big AI players like IBM Watson ???

https://singularityhub.com/2017/03/16/matchmaker-make-us-the-perfect-love-algorithm/
Big Five test is OBSOLETE.
eHarmony is a 16+ 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, had been proven/revealed as an incomplete and incorrect model to assess/measure personality of persons.
Moreover 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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/03/one-of-eharmony-cmo-marketers-are.html

BIG HOAX,  Watson IBM
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/artificial-intelligence-can-watson-save.html

The Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality.
The HEXACO (a.k.a. Big Six) is another oversimplification. 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.

PAPER Game-based extraction of web users' personality factors for personalization
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/03/paper-game-based-extraction-of-web.html

Finally the perfect dating algorithm? Of course NOT, Big Five test is OBSOLETE.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/02/finally-perfect-dating-algorithm-of.html

Please remember:
All Scientific Research shows: The key to long-lasting romance: COMPATIBILITY is STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests". 
Inverse spike after New Year's Eve ? (via Alexa)
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/03/inverse-spike-after-new-years-eve-via.html
 

Lack Of Innovation & Decadence can summarize the Online Dating Industry.
C-Level executives are more worried about their golf scores than their company’s long term strategy and innovations.
C-level executives are cooking barbecues under the water (selling smoke) and not paying attention to latest research from Academics which could be beneficial for the Online Dating Industry.

 
Very easy to copycat eHarmony, but very difficult to innovate: a 100 times better algorithm than eHarmony.
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/very-easy-to-copycat-eharmony-but-very.html  
  
Please read: The 8 tips to innovate in the Online Dating Industry!
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/12/the-8-tips-to-innovate-in-online-dating.html

paper: Preliminary Investigation on User Interaction with IBM Watson Analytics

Preliminary Investigation on User Interaction with IBM Watson Analytics

Artificial intelligence: Can Watson save IBM?
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/artificial-intelligence-can-watson-save.html

FT articles: Bank hiring: Wall St turns to machines to find better-behaved bankers & Making the grade at Deutsche Bank
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/09/ft-articles-bank-hiring-wall-st-turns.html

PAPER Predicting personality traits related to consumer behavior using SNS analysis
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/04/paper-predicting-personality-traits.html
 
biased ARTICLE and PAPER: "Here's how to read someone's personality by their online profile picture"
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/05/biased-article-and-paper-heres-how-to.html
 
PAPER The Gamification User Types Hexad Scale
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/09/paper-gamification-user-types-hexad.html

article: Predictive Analytics, Big Data, and How to Make Them Work for You
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/07/article-predictive-analytics-big-data.html
 
IBM will analyze Twitter data and turn it into something actionable for the enterprise.
http://vator.tv/news/2014-10-29-twitter-teams-with-ibm-for-business-analytics

IBM Deciphers Personality Types From 200 Tweets ?
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/11/ibm-deciphers-personality-types-from.html

PAPER System U: Automatically Deriving Personality Traits from Social Media for People Recommendation
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/10/paper-system-u-automatically-deriving.html


Unfortunately the Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality. The HEXACO (a.k.a. Big Six) is another oversimplification. 

Personality Based Recommender Systems are the next generation of recommender systems because they perform far better than Behavioural ones (past actions and pattern of personal preferences)
That is the only way to improve recommender systems, to include the personality traits of their users. They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not notice, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates!!! because they mostly use the Big 5 to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old.

Online Dating sites OFFERING COMPATIBILITY MATCHING METHODS BASED ON PERSONALITY SIMILARITY 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 normative personality test instead.
The same applies for Personality Based Recommender Systems.
 
  
Very easy to copycat eHarmony, but very difficult to innovate: a 100 times better algorithm than eHarmony.
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/very-easy-to-copycat-eharmony-but-very.html

Artificial intelligence: Can Watson save IBM?

http://www.ft.com/intl/cms/s/0/dced8150-b300-11e5-8358-9a82b43f6b2f.html

Unfortunately Watson is a HOAX.
Please read also:
"Work Wanted: IBM Watson program offers personality insights to employees" 

http://jacksonville.com/news/metro/2015-04-08/story/work-wanted-ibm-watson-program-offers-personality-insights-employees

"The analysis is based on the “Big 5” personality traits used by social scientists: openness, conscientiousness, extraversion, agreeableness, and neuroticism. It also provides information on a range of emotions, such as fiery, immoderate, melancholy and prone to stress. Finally, Watson adds on needs this individual may have, such as challenge, closeness, harmony, liberty and love. Presumably, if you want to connect on an emotional level with a customer, to recruit or sell to someone, you could craft messages that speak the right language. "
http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.html
https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/models.shtml
https://watson-um-demo.mybluemix.net/

Unfortunately the Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality. The HEXACO (a.k.a. Big Six) is another oversimplification. 

Personality Based Recommender Systems are the next generation of recommender systems because they perform far better than Behavioural ones (past actions and pattern of personal preferences)
That is the only way to improve recommender systems, to include the personality traits of their users. They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not notice, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates!!! because they mostly use the Big 5 to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old.

Online Dating sites OFFERING COMPATIBILITY MATCHING METHODS BASED ON PERSONALITY SIMILARITY 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 normative personality test instead.
The same applies for Personality Based Recommender Systems.


about article "Work Wanted: IBM Watson program offers personality insights to employees"
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/04/about-article-work-wanted-ibm-watson.html

Personality-Based Recommendations: Evidence from Amazon
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/09/personality-based-recommendations.html

IBM will analyze Twitter data and turn it into something actionable for the enterprise.
http://vator.tv/news/2014-10-29-twitter-teams-with-ibm-for-business-analytics

IBM Deciphers Personality Types From 200 Tweets ?
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/11/ibm-deciphers-personality-types-from.html

PAPER System U: Automatically Deriving Personality Traits from Social Media for People Recommendation
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/10/paper-system-u-automatically-deriving.html