Wednesday, September 2, 2020

article: People Who Use Dating Apps Are More Likely To Have ‘Dark’ Personality Traits, Say Researchers

 




https://www.forbes.com/sites/traversmark/2020/09/01/new-psychological-research-explores-the-link-between-online-dating-and-dark-personality-traits

PAPER: The Homophily Principle in Social Network Analysis
http://onlinedatingsoundbarrier.blogspot.com/2020/08/paper-homophily-principle-in-social.html

 


The Online Dating Industry needs INNOVATIONS, not more bells and whistles.

Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!

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.
  
 

Sunday, August 30, 2020

PAPER: The Homophily Principle in Social Network Analysis

 https://arxiv.org/pdf/2008.10383.pdf

 




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

 
Artificial General Intelligence article: Do you recommend Recommendation Engines? https://onlinedatingsoundbarrier.blogspot.com/2020/08/artificial-general-intelligence-article.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)
https://onlinedatingsoundbarrier.blogspot.com/2019/05/paper-beyond-personalization-research.html
 

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 notice: 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 == 16PF6 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 16PF6 test instead and another method to calculate similarity.

Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!

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. 
 

Thursday, August 27, 2020

Spark Networks reports H1 2020 results

 


 

https://seekingalpha.com/news/3609297-spark-networks-reports-1h-results
https://www.spark.net/news-releases/news-release-details/spark-networks-se-reports-first-half-2020-financial-results
Net Loss was Euros 0.4 Million in the first half of 2020
The Company ended the H1 2020 with Euros 12.0 Million in cash and Euros 88.8 Million in debt.

Spark Networks SE (LOV) CEO on Q2 2020 Results - Earnings Call Transcript
https://seekingalpha.com/article/4371178-spark-networks-se-lov-ceo-eric-eichmann-on-q2-2020-results-earnings-call-transcript


Spark Networks: 2H and full year 2019 Financial Results
https://onlinedatingsoundbarrier.blogspot.com/2020/04/spark-networks-2h-and-full-year-2019.html

Artificial General Intelligence article: Do you recommend Recommendation Engines?

 https://www.unite.ai/do-you-recommend-recommendation-engines/


PAPER: Predicting Online Shopping Inclination Based on Personality Characteristics
http://onlinedatingsoundbarrier.blogspot.com/2020/07/paper-predicting-online-shopping.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)
https://onlinedatingsoundbarrier.blogspot.com/2019/05/paper-beyond-personalization-research.html
 

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 notice: 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 == 16PF6 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 16PF6 test instead and another method to calculate similarity.

Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!

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. 

Saturday, August 22, 2020

A Rocket Scientist’s Love Algorithm??? Nanaya

 https://www.wired.com/story/rocket-scientists-love-algorithm-adds-up-during-covid-19/

 


Nanaya, another HOAX, FRAUD part 1 of 2
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/02/nanaya-another-hoax-fraud-part-1-of-2.html


part 2
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/02/nanaya-another-hoax-fraud-part-2-of-2.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



Very easy to copycat eHarmony, but very difficult to innovate: a 100 times better algorithm than eHarmony.
http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/very-easy-to-copycat-eharmony-but-very.html 

Monday, August 10, 2020

PAPER: OK Cupid, Stop Bumbling around and Match Me Tinder:

Using Dating Apps Across the Life Course

https://journals.sagepub.com/doi/pdf/10.1177/2333721420947498 



PAPER: Testing, filtering, and insinuating:
Matching and attunement of emoji use patterns as non-verbal flirting in online dating
https://onlinedatingsoundbarrier.blogspot.com/2020/07/paper-testing-filtering-and-insinuating.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

Hinge’s CEO says dating isn’t something people should leave up to AI

 El CEO de Hinge asegura que la gente no debería dejar las citas en manos de la IA https://www.infobae.com/fortune/2025/06/27/el-ceo-de-hing...