Please see also:
PAPER: Mining HEXACO personality traits from Enterprise Social Media
Please read also:
about article "Work Wanted: IBM Watson program offers personality insights to employees"
Personality-Based Recommendations: Evidence from Amazon
IBM will analyze Twitter data and turn it into something actionable for the enterprise.
IBM Deciphers Personality Types From 200 Tweets ?
PAPER System U: Automatically Deriving Personality Traits from Social Media for People Recommendation
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.
In case you had not noticed, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry.
If you want to be first in the "personalization arena" == Personality Based Recommender Systems, you should understand HOW TO INNOVATE in the ............ Online Dating Industry first of all!
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. Oh that is exactly ............ guess ............. yes ........ LIFEPROJECT METHOD, ready since 2001!
The next wave of innovation!
What comes after the Social Networking wave?
The Next Big Investment Opportunity on the Internet will be .... Personalization!
Personality Based Recommender Systems and Strict Personality Based Compatibility Matching Engines for serious Online Dating with the normative 16PF5 personality test.