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
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old.
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.
Similarity is a word that has different meanings for different persons or companies, it exactly depends on how mathematically is defined.
Please see: "How to calculate personality similarity between users"
Short answer: the key is the ENSEMBLE!
(the whole set of different valid possibilities)
Please read also
PAPER Evaluation of Similarity Functions
An exercise of similarity.
How LIFEPROJECT METHOD calculates similarity.
STRICT PERSONALITY SIMILARITY by LIFEPROJECT METHOD.
Personality Distribution Curves using the NORMATIVE 16PF5.
ALGORITHMS & POWER CALCULATION.
Innovations: to take the 16PF5 test 3 times.
Why your brain distorts!
Matching Algorithms for the Online Dating Industry (serious daters)