and Sentiment Analysis in Reviews
PAPER: RecSys Challenge 2018: playlist continuation based on shared neighborhood-methods, matrix factorization and audio-feature classification
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
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
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.
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.
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.
WorldWide, there are over 5,000 (five thousand) online dating sites:
- but no one is using the 16PF5 (or similar) to assess personality of its members!
- but no one calculates similarity with a quantized pattern comparison method!
- but no one can show Compatibility Distribution Curves to each and every of its members!!!
i.e. if you are a man seeking women, to show how compatible you are
with a 20,000,000 women database, and to select a bunch of 100 women
from 20,000,000 women database.
no one is scientifically proven! No actual online dating site is
"scientifically proven" because no one can prove its matching algorithm
can match prospective partners who will have more stable and satisfying
relationships (and very low divorce rates) than couples matched by
chance, astrological destiny, personal preferences, searching on one's
own, or other technique as the control group in a peer reviewed
Scientific Paper for the majority (over 90%) of its members.
The 8 tips to innovate in the Online Dating Industry!