Thursday, October 5, 2017

NearGroup chatbot startup lands USD1.6 Million Seed round


https://techcrunch.com/2017/10/05/neargroup-chatbot-startup-lands-1-6m-seed-round-led-by-openocean/

"you are more likely to find something in common and avoid the “body-shopping” culture of Tinder etc."

"something in common"?
If man A likes playing cards and woman B also likes playing cards, that does not mean man A likes woman B, or woman B can like man A with the same intensity or interest. 

"NearGroup, a chatbot allowing users to connect with like-minded people based on proximity, personality and their creative content"

personality ???


Personality, User Preferences and Behavior in Recommender systems
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/09/personality-user-preferences-and.html



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 notice, 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

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