Tuesday, September 27, 2016

PAPER The Gamification User Types Hexad Scale

[PDF] The Gamification User Types Hexad Scale

Please see:
FT articles: Bank hiring: Wall St turns to machines to find better-behaved bankers & Making the grade at Deutsche Bank

about article "Work Wanted: IBM Watson program offers personality insights to employees"


Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE) 2016

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) 

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.

The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement"

All other proposals are NOISE and perform as placebo.

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