paper: DIVERSITY ENHANCEMENT IN COMMUNITY RECOMMENDATION USING TENSOR DECOMPOSITION AND CO-CLUSTERING

DIVERSITY ENHANCEMENT IN COMMUNITY RECOMMENDATION USING TENSOR DECOMPOSITION AND CO-CLUSTERING

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).
Please see.

The Netflix Recommender System: Algorithms, Business Value, and Innovation
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/the-netflix-recommender-system.html

If you want to be first in the "personalization arena" == Personality Based Recommender Systems, you should understand the ............ Online Dating Industry first of all!   

http://onlinedatingsoundbarrier.blogspot.com.ar/2015/12/paper-similarity-scores-evaluation-in.html


 
The 8 tips to innovate in the Online Dating Industry!
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/12/the-8-tips-to-innovate-in-online-dating.html  

The next wave of innovation!
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/06/the-next-wave-of-innovation.html

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.
Without 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.