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.
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
Please see also:
PAPER "AN EFFICIENT SIMILARITY-BASED MODEL FOR WEB SERVICE RECOMMENDATION"
2017 INTERNET TRENDS 2017 Next Big Thing: PERSONALIZATION!
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.
offering the NORMATIVE16PF5 (or similar test measuring exactly the 16
personality factors) for serious dating, it will be impossible to
innovate and revolutionize the Online Dating Industry. All other
proposals are NOISE and perform as placebo.