PAPER Online social trust reinforced personalized recommendation

http://link.springer.com/article/10.1007/s00779-016-0923-y

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)
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/03/paper-tensor-methods-and-recommender.html
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/2016/04/personality-as-metric-for-topic-models.html

article: The Future Of Big Data Is Bigger Than You Can Possibly Imagine
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/04/article-future-of-big-data-is-bigger.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.  LIFEPROJECT METHOD