PAPER: "Modeling dating decisions in a mock swiping paradigm"

 

https://www.sciencedirect.com/science/article/abs/pii/S0092656621000131
Modeling dating decisions in a mock swiping paradigm: An examination of participant and target characteristics
https://www.psypost.org/2021/07/new-study-indicates-that-potential-partners-experience-a-large-penalty-for-being-black-on-dating-apps-61545

USA ASU professor receives innovation award to study dating in the digital age

https://onlinedatingsoundbarrier.blogspot.com/2021/06/usa-asu-professor-receives-innovation.html

PAPER: Couple Simulation: A Novel Approach for Evaluating Models of Human Mate Choice
https://onlinedatingsoundbarrier.blogspot.com/2021/03/paper-couple-simulation-novel-approach.html

 

The Online Dating Industry needs INNOVATIONS, not more bells and whistles.
Lack Of Innovation & Decadence can summarize the Online Dating Industry.
C-Level executives are more worried about their golf scores than their company’s long term strategy and innovations.
C-level executives are cooking barbecues under the water (selling smoke) and not paying attention to latest research from Academics which could be beneficial for the Online Dating Industry.
 
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. The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  

FUNNY: IDEA's Project 0d8 Helps Dating Services Improve
https://onlinedatingsoundbarrier.blogspot.com/2019/07/funny-ideas-project-0d8-helps-dating.html
Improvement is not innovation!
http://onlinedatingsoundbarrier.blogspot.com.ar/2018/01/mistakes-at-behavioral-economics-of.html

Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF6 test instead and another method to calculate similarity.

High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
Without offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry.  

 

PAPER: Tinder Use and Romantic Relationship Formations: A Large-Scale Longitudinal Study

 

https://www.frontiersin.org/articles/10.3389/fpsyg.2020.01757/full
https://www.psypost.org/2021/03/longitudinal-study-finds-tinder-use-predicts-romantic-relationship-formation-but-it-might-not-be-because-of-the-app-60242

PAPER: Couple Simulation: A Novel Approach for Evaluating Models of Human Mate Choice
https://onlinedatingsoundbarrier.blogspot.com/2021/03/paper-couple-simulation-novel-approach.html

The Online Dating Industry needs INNOVATIONS, not more bells and whistles.
Lack Of Innovation & Decadence can summarize the Online Dating Industry.

 
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. The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  

FUNNY: IDEA's Project 0d8 Helps Dating Services Improve
https://onlinedatingsoundbarrier.blogspot.com/2019/07/funny-ideas-project-0d8-helps-dating.html
Improvement is not innovation!
http://onlinedatingsoundbarrier.blogspot.com.ar/2018/01/mistakes-at-behavioral-economics-of.html

Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF6 test instead and another method to calculate similarity.

High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
Without offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry.  

Thesis: Three Theories of Love: Analysis of Online Dating

https://scholarship.claremont.edu/cmc_theses/2469/


THESIS Dating in the Digital Age
https://onlinedatingsoundbarrier.blogspot.com/2020/03/thesis-dating-in-digital-age.html


Virtual dating on the rise as users seek lockdown love, says Match chief ???
https://onlinedatingsoundbarrier.blogspot.com/2020/06/virtual-dating-on-rise-as-users-seek.html

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  
 
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five normative model or the HEXACO normative model are not enough for predictive purposes. That is why I suggest the normative 16PF6 test instead and another method to calculate similarity.

High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
 
Without offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry

PAPER: "Match making in complex social networks"

https://www.sciencedirect.com/science/article/abs/pii/S0096300319309208

PAPER: A New Similarity Measure Based on Simple Matching Coefficient
https://onlinedatingsoundbarrier.blogspot.com/2019/10/paper-new-similarity-measure-based-on.html

PAPER: A new similarity measure for collaborative filtering based recommender systems
https://onlinedatingsoundbarrier.blogspot.com/2019/09/paper-new-similarity-measure-for.html

"Swiping meant dating this decade, and it’s time for a change"
http://onlinedatingsoundbarrier.blogspot.com/2019/12/swiping-meant-dating-this-decade-and.html


OPW: The State of the Dating Industry in 2019
https://onlinedatingsoundbarrier.blogspot.com/2019/10/opw-state-of-dating-industry-in-2019.html
  
FUNNY: IDEA's Project 0d8 Helps Dating Services Improve
https://onlinedatingsoundbarrier.blogspot.com/2019/07/funny-ideas-project-0d8-helps-dating.html
Improvement is not innovation!
 
The Online Dating Industry needs INNOVATIONS, not more bells and whistles.
http://onlinedatingsoundbarrier.blogspot.com.ar/2018/01/mistakes-at-behavioral-economics-of.html


High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
Without offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry.

some NEW online dating papers

Are Tinder and Dating Apps Changing Dating and Mating in the USA?
https://link.springer.com/chapter/10.1007/978-3-319-95540-7_6

Facial and self‐report questionnaire measures capture different aspects of romantic partner preferences
https://onlinelibrary.wiley.com/doi/abs/10.1111/bjop.12347

Online Dating: Changing Intimacy One Swipe at a Time?
https://link.springer.com/chapter/10.1007/978-3-319-95540-7_4

The Online Dating Industry needs INNOVATIONS, not more bells and whistles.
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, and not meet other people with similar interests or political views.


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

PAPER "A Social Recommender System based on Bhattacharyya Coefficient"

https://arxiv.org/ftp/arxiv/papers/1809/1809.03047.pdf

PAPER "A new similarity measure using Bhattacharyya coefficient
https://onlinedatingsoundbarrier.blogspot.com/2015/03/paper-new-similarity-measure-using.html

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
Worldwide there are over 5,000 online dating sites, no one uses the 16PF5, no one is scientifically proven yet, and no one can show you compatibility distribution curves, i.e. if you are a man seeking women, to show how compatible you are with a 20,000,000 women database, and to select a bunch of 100 women from 20,000,000 women database.
 

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.  

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

And please remember: 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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  

They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  

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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.  

PAPER: CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation

[PDF] CoupleNet: Paying Attention to Couples with Coupled Attention for Relationship Recommendation

PAPER:  A Modified Similarity Measure for Improving Accuracy of User-Based Collaborative Filtering
http://onlinedatingsoundbarrier.blogspot.com/2018/06/paper-modified-similarity-measure-for.html

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views". 

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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.

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 needs INNOVATIONS, not more bells and whistles.
http://onlinedatingsoundbarrier.blogspot.com.ar/2018/01/mistakes-at-behavioral-economics-of.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, and not meet other people with similar interests or political views.
At the paper  "Perceptions of Ideal and Former Partners' Personality and Similarity" 
The authors had written
".... mismatches in personality are a frequently mentioned cause for relationship break-up. If former partners indeed have dissimilar personalities, our findings underline how difficult it is for many people to select a mate with a similar personality, or, alternatively, how little value individuals put on finding a similar partner in terms of personality.
The present study's results, as well as the results found in previous studies (e.g., Eastwick & Finkel, 2008), may be used to educate people, especially singles, about what really matters in long-term relationships, for instance, similarity in personality, instead of complementarity."
http://onlinedatingsoundbarrier.blogspot.com.ar/2011/05/big-punch-to-behavioural-recommender.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2012/07/two-papers-debunking-behavioural.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

PAPER: A Modified Similarity Measure for Improving Accuracy

 of User-Based Collaborative Filtering

[PDF] A Modified Similarity Measure for Improving Accuracy of User-Based Collaborative Filtering

PAPER: An Homophily-based Approach for Fast Post Recommendation on Twitter
http://onlinedatingsoundbarrier.blogspot.com/2018/03/paper-homophily-based-approach-for-fast.html


Please see also the paper:
Recent Advances in Recommender Systems: Matrices, Bandits, and Blenders
http://openproceedings.org/2018/conf/edbt/georgiakoutrika.pdf
and
PAPER: An Efficient Similarity Measure for User-based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/12/paper-efficient-similarity-measure-for.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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  
 
They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views".  


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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.

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.

PAPER: An Homophily-based Approach for Fast Post Recommendation on Twitter

http://openproceedings.org/2018/conf/edbt/paper-96.pdf

Please see also the paper:
Recent Advances in Recommender Systems: Matrices, Bandits, and Blenders
http://openproceedings.org/2018/conf/edbt/georgiakoutrika.pdf
and
PAPER: An Efficient Similarity Measure for User-based Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/12/paper-efficient-similarity-measure-for.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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  
 
They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views". 
 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!!! i.e. if you are a man seeking women, to show how compatible you are with a 20,000,000 women database, and to select a bunch of 100 women from 20,000,000 women database.

- 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.  
 
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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.

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.

PAPER: An Efficient Similarity Measure for User-based

Collaborative Filtering Recommender Systems Inspired by the Physical Resonance Principle
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8123927

Please see also:
How good your recommender system is? A survey on evaluations in recommendation
https://link.springer.com/article/10.1007/s13042-017-0762-9

and
PAPER: Compatibility Family Learning for Item Recommendation and Generation
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/12/paper-compatibility-family-learning-for.html

PAPER: Similarity Measures Using Fuzzified Ratings for Collaborative Filtering
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/12/paper-similarity-measures-using.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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  
 
They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views". 
 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!!! i.e. if you are a man seeking women, to show how compatible you are with a 20,000,000 women database, and to select a bunch of 100 women from 20,000,000 women database.

- 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.  
  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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.

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.

PAPER: Compatibility Family Learning for Item Recommendation and Generation

 https://arxiv.org/pdf/1712.01262.pdf

PAPER: Similarity Measures Using Fuzzified Ratings for Collaborative Filtering
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/12/paper-similarity-measures-using.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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  
 
They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not see, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 

The key to long-lasting romance: COMPATIBILITY is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests or political views". 

 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!!! i.e. if you are a man seeking women, to show how compatible you are with a 20,000,000 women database, and to select a bunch of 100 women from 20,000,000 women database.

- 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.  
 
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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.

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!!!

Predicting Facebook-Users’ Personality based on

Status and Linguistic Features via Flexible Regression Analysis Techniques
http://www.kuntalkumarpal.in/Resume/Prediction_Personality.pdf

AGAIN the obsolete Big Five normative test.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/10/again-obsolete-big-five-normative-test.html

Compare to "User Personality and User Satisfaction with Recommender Systems"
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/09/user-personality-and-user-satisfaction.html
PAPER: Improved collaborative filtering recommendation algorithm of similarity measure
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/05/paper-improved-collaborative-filtering.html

about "How Facebook’s Oracular Algorithm Determines the Fates of Start-Ups"
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/11/about-how-facebooks-oracular-algorithm.html

Personality, User Preferences and Behavior in Recommender systems
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/09/personality-user-preferences-and.html
 
Online Dating Pioneer: Algorithmic Insights Can Help Us Become Better People
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/09/online-dating-pioneer-algorithmic.html
Dr. Galen Buckwalter talks about the HEXACO model of personality (BIG FIVE, or OCEAN is obsolete now)
article: Why Brands Need to Understand Personalities in Order to Leverage AI’s Potential
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/08/article-why-brands-need-to-understand.html
AI, former eHarmony's Chief Scientist and PsyML (machine learning and big data)
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/05/ai-former-eharmonys-chief-scientist-and.html
Soulmates.ai launches to help brands find compatible influencers using AI
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/05/soulmatesai-launches-to-help-brands.html

The Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/09/online-dating-pioneer-algorithmic.html
The HEXACO (a.k.a. Big Six) is another oversimplification. 


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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html  
 
They need to calculate personality similarity between users but there are different formulas to calculate similarity.

In case you did not understand, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry for years, with low success rates until now because they mostly use the Big Five model to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old. 


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.
Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the Big Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.

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!!!