PAPER Alleviating the new user problem in collaborative filtering by exploiting personality information.

http://link.springer.com/article/10.1007/s11257-016-9172-z

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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/11/people-to-people-reciprocal-recommenders.html
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. Oh that is exactly ............ guess ............. yes ........ LIFEPROJECT METHOD, ready since 2001!
All other proposals are NOISE and perform as placebo.