Saturday, August 27, 2016

PAPER "A New Similarity Measure Based on Mean Measure of Divergence for Collaborative Filtering in Sparse Environment"




http://www.sciencedirect.com/science/article/pii/S1877050916311644


PAPER "A new similarity measure using Bhattacharyya coefficient
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/03/paper-new-similarity-measure-using.html
PAPER: Using Personality Enhanced Item-Based Recommender System for Cold Start
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/paper-using-personality-enhanced-item.html
PAPER CS224W Final Report
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/paper-cs224w-final-report.html
PAPER User Similarity Adjustment for Improved Recommendations
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/01/paper-user-similarity-adjustment-for.html
PAPER: A Collaborative Filtering Recommender Algorithm Based on Privacy Preserving
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/08/paper-collaborative-filtering.html

FAILED and BIASED article "Mathematician reveals formula to find a perfect mate"
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/03/failed-and-biased-article-mathematician.html
BBC article: "The mathematical formula for love"
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/02/bbc-article-mathematical-formula-for.html
The NEW era of Personality Based Recommender Systems
http://onlinedatingsoundbarrier.blogspot.com.ar/2010/10/new-era-of-personality-based.html
eHarmony: Engineers try to get to the heart of true love
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/08/eharmony-engineers-try-to-get-to-heart.html


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.

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.

The innovations the Online Dating Industry needs will come from only one source: the latest discoveries in theories of romantic relationships development with commitment.

Only 3 major discoveries can help to revolutionize the online dating industry.
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/12/the-8-tips-to-innovate-in-online-dating.html

The 3 milestone discoveries of the 2001 - 2010 decade for Theories of Romantic Relationships Development are:
I) Several studies showing contraceptive pills users make different mate choices, on average, compared to non-users. "Only short-term but not long-term partner preferences tend to vary with the menstrual cycle"
II) People often report partner preferences that are not compatible with their choices in real life. (Behavioural recommender systems or other system that learns your preferences are useless)
III) What is important in attracting people to one another may not be important in making couples happy. Compatibility is all about a high level on personality similarity between prospective mates for long term mating with commitment.

 
The key to long-lasting romance; COMPATIBILITY is: STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests".  
 
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!  No actual online dating site  is "scientifically proven" because no one can prove its matching algorithm can match prospective partners who will have more stable and satisfying relationships -and very low divorce rates- than couples matched by chance, astrological destiny, personal preferences, searching on one's own, or other technique as the control group in a peer reviewed Scientific Paper for the majority (over 90%) of its members.
but no one can show you a list of compatible persons like this:
( for a prospective male customer / sample but calculated with real values)
“Over 1,000,000 million women database, here is the list of the 12 more compatible with you. Notice that woman#1 is the most compatible with you but she could be more compatible with other men right now.
woman#01 is 95.58476277% compatible
woman#02 is 95.56224356% compatible
woman#03 is 95.52998273% compatible
woman#04 is 94.18354278% compatible
woman#05 is 93.00453871% compatible
woman#06 is 93.00007524% compatible
woman#07 is 92.99738452% compatible
woman#08 is 92.37945551% compatible
woman#09 is 92.29779173% compatible
woman#10 is 92.27114287% compatible
woman#11 is 92.19515551% compatible
woman#12 is 92.12249558% compatible”


The only way to revolutionize the Online Dating Industry is using the 16PF5 normative personality test, available in different languages to assess personality of members, or a proprietary test with exactly the same traits of the 16PF5 and expressing compatibility with eight decimals (needs a quantized pattern comparison method, part of pattern recognition by cross-correlation, to calculate similarity between prospective mates.)

High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.


Without offering the NORMATIVE 16PF5 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry

The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement"

 All other proposals are NOISE and perform as placebo.  
------------------------------------------------------
Please see: "How to calculate personality similarity between users"
Short answer: the key is the ENSEMBLE!
(the whole set of different valid possibilities)
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/03/how-to-calculate-personality-similarity.html

For online dating applications and personality based recommenders persons/daters are "distinguishable" and not "exchangeable".
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/03/paper-on-similarity-between.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/08/paper-enhanced-user-modeling-based-on.html


PAPER Evaluation of Similarity Functions
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/04/paper-evaluation-of-similarity-functions.html
 

An exercise of similarity.
How LIFEPROJECT METHOD calculates similarity.
STRICT PERSONALITY SIMILARITY by LIFEPROJECT METHOD.
Personality Distribution Curves using the NORMATIVE 16PF5.
ALGORITHMS & POWER CALCULATION.
Innovations: to take the 16PF5 test 3 times.
Why your brain distorts!

Matching Algorithms for the Online Dating Industry (serious daters) 
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/01/matching-algorithms-for-online-dating.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/02/article-how-dating-companies-are-having.html 

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