Friday, January 16, 2015

THESIS Personalized POI Recommendation on Location-Based Social Networks

http://www.public.asu.edu/~hgao16/papers/Dissertation_HuijiGao.pdf


Please see:
Collaborative Filtering: User Similarity in Slope One Algorithm
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/01/collaborative-filtering-user-similarity.html


Are there any use cases of social network-based Recommender systems?
and
What is the currrent work going in the recommendation system?


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! 
WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven!


LIFEPROJECT METHOD: 100X better than eHarmony, not 100% better, 100 times better!
http://es.scribd.com/doc/223672375/LPMvEHARMONY-pdf 
  
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.




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