Status and Linguistic Features via Flexible Regression Analysis Techniques
AGAIN the obsolete Big Five normative test.
Compare to "User Personality and User Satisfaction with Recommender Systems"
PAPER: Improved collaborative filtering recommendation algorithm of similarity measure
about "How Facebook’s Oracular Algorithm Determines the Fates of Start-Ups"
Personality, User Preferences and Behavior in Recommender systems
Online Dating Pioneer: Algorithmic Insights Can Help Us Become Better People
Dr. Galen Buckwalter talks about the HEXACO model of personality (BIG FIVE, or OCEAN is obsolete now)
article: Why Brands Need to Understand Personalities in Order to Leverage AI’s Potential
AI, former eHarmony's Chief Scientist and PsyML (machine learning and big data)
Soulmates.ai launches to help brands find compatible influencers using AI
The Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality.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 understand, 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.
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!!!