Artificial intelligence: Can Watson save IBM?
Unfortunately the Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality.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.
Please see: BOOK: Recommender Systems, The Textbook
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)
is the only way to improve recommender systems, to include the
personality traits of their users. They need to calculate personality
similarity between users.
In case you had not noticed,
recommender systems are morphing to compatibility matching engines, as
the same used in the Online Dating Industry.
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. LIFEPROJECT METHOD