Sunday, June 30, 2013

"the online dating sound barrier" problem, 10 years later !!!

I had reviewed over 55 compatibility matching engines intended for serious dating since 2003, when I had discovered "the online dating sound barrier" problem. 10 years ago!

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 only way to achieve that 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.
The ensemble of the 16PF5 is: 10E16, big number as All World Population is nearly 7.0 * 10E9
- expressing compatibility with eight decimals, like The pattern 6.7.6.8.9.6.7.7.8.7.2.5.8.7.3.4 is 92.55033557% +/- 0.00000001% similar to the pattern 7.7.6.8.8.7.6.5.8.7.4.5.7.7.3.4
Using a quantized pattern comparison method (part of pattern recognition by cross-correlation) to calculate similarity between prospective mates.

That is the only way to INNOVATE and revolutionize the Online Dating Industry.


High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
It is all about achieving the eighth decimal!
With 8 decimals, you have more precision than any person could achieve by searching on one's own, but the only way to achieve the eighth decimal is using analysis and correlation with quantized patterns.


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
All other proposals are NOISE and perform as placebo.

--------------------------
Fernando Ardenghi's List of Firsts:
- First person in the World to say the entire Online Dating Industry in 1st World Countries is a HOAX.
- First person in the World to say many Online Dating sites like eHarmony, PerfectMatch, Chemistry, PlentyOfFish Chemistry Predictor, MeeticAffinity, Parship, Be2 and others are performing as placebo, like patent medicine.
- First person in the World to discover the Online Dating Sound Barrier problem.
- First and Only person in the World to solve the Online Dating Sound Barrier problem.
- First person in the World to suggest the normative 16PF5 test or similar like 15FQ+ to measure personality of daters instead of ipsative tests like PerfectMatch or Chemistry or other normative less powerful tests like the Big5.
- First person in the World to say Online Dating sites should check if women are taking contraceptive pills or other hormonal therapy.
- First person in the World to reverse engineering several online dating sites offering compatibility matching methods.
- First person in the World to notice Personality Based Recommender Systems are like compatibility matching engines.
- First person in the World to suggest Online Dating sites should show Compatibility Distribution Curves to every and each dater.
- First person in the World to compile research about Theories of Romantic Relationship Development.
- First person in the World to openly say Conferences for the Online Dating Industry like iDate and ODS are rubbish.
---------------------------------
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 market remains enormous!! 

Saturday, June 29, 2013

Low activity level at OPW1 and ODI.

Cold Winter here, in South America.

Low activity level at OPW1 and ODI.
Not sure what is happening!
As Mr. Brooks had said: " iDating Industry Misses The Boat".
 NO INNOVATIONS SINCE YEARS IN THE ONLINE DATING INDUSTRY.

The Online Dating Industry needs to kill the Matchmaking Industry, like computers killed typewriters

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!

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.


---------------------------------
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.

 

Thursday, June 27, 2013

FEATURED PAPER "Simple measures and complex structures ...."


Simple measures and complex structures: Is it worth employing a more complex model of personality in Big Five inventories?

Abstract
The poor performance of five-factor personality inventories in confirmatory factor analyses (CFAs) prompted some to question their construct validity. Others doubted the CFA's suitability and suggested applying Exploratory Structural Equation Modeling (ESEM). The question arises as to what impact the application of either method has on the construct validity of  personality inventories. We addressed this question by applying ESEM and CFA to construct better-fitting, though more complex models based on data from two questionnaires (NEO PI-R and 16PF). Generally, scores derived from either method did not differ substantially. When applying ESEM, convergent validity declined but discriminant validity improved. When applying CFA, convergent and discriminant validity decreased. We conclude that using current personality questionnaires that utilize a simple structure is appropriate.

2. Method
2.1. Measures
The data from two hierarchical self-report personality instruments were used in this study:
(1) Cattell's 16 Personality Factor Questionnaire, 5th Edition consists of 185 items with a three-choice response format that measures 16 primary factors.
The 15 non-cognitive factors are then combined into five factors, commonly called ‘global factors’.
(2) The Revised NEO Personality Inventory (NEO-PI-R, Costa & McCrae, 1992) comprises 240 items with a five-point Likert response format. It assesses 30 facets of personality that are used to compute five higher-level domain scores.

The 16PF and the NEO-PI-R differ in that the first-order level of personality is described with 15 and 30 scales, respectively. An alignment exists, however, between the second-order level, where there is a NEO domain counterpart for each 16PF global factor. The counterparts for both instruments are 16PF-Extraversion and NEO-Extraversion, 16PF-Anxiety and NEO-Neuroticism, 16PFSelf-Control and NEO-Conscientiousness, 16PF-Independence and NEO-Agreeableness and, finally, 16PF-Tough-Mindedness and NEO-Openness. The last two pairs are defined in the opposite direction.

2.2. Sample
The sample used in this study included 620 respondents and was a subset of the Eugene Springfield Community Sample. The original ESCS sample was slightly larger (N = 857 for the NEO PI-R and N = 680 for the 16PF). In our study, only the 620 participants who completed both instruments were included in the sample. Of these, 97% were Caucasian, 57% were female, and roughly half the sample had achieved at least a college degree. The age of the respondents ranged from 18 to 85 years old (M = 52, SD = 13).
Because both questionnaires were completed by the same sample, unknown characteristics of different samples can be ruled out as an explanation for any observed differences between instruments. This set-up also allows us to examine the construct validity across both instruments.

Personality questionnaires have repeatedly exhibited good criterion-related validity. The poor support of their internal structure has raised the question of how these measures can predict external criteria. However, the simple structure may in fact be beneficial for the measures' predictive capabilities. Several studies have demonstrated that broader domains reduce the predictive power of personality. In addition, from a conceptual and practical viewpoint, using these more complex structures seems to be less useful because it is harder to interpret relationships between broader domains and external criteria. This study provides reasoning for the continued use of current personality instruments that have demonstrated criterion-related validity despite CFA findings that suggest a more complex structure.

(The study did not examine the impact the structures proposed by CFA and ESEM have on criterion-related validity.)


--------------------------------

Please remember:
IPSATIVE personality tests are OBSOLETE (self-descriptive questionnaires) and should be discarded: MBTI (PerfectMatch), DISC (ThomasKnowsPeople), Enneagram (Dopasowani) or other proprietary ipsative tests like the ones used at Chemistry, ButterfliesAgain, Doskonalapara, PembePanjur, LittleHint, oneGoodLove and others.

NORMATIVE personality tests like Big5 versions used at PlentyOfFish, eHarmony, Meetic Affinity, Parship, Be2, True are good for guidance (
orientation) purposes but not good enough for predictive purposes.
"Because the Big Five groups the more specific primary-level factors, feedback organized around the five Global Factor scales is more easily understood. For detailed feedback or predictive purposes, one should assess the more specific primary factors. Research has shown that more specific factors like the primary scales of the 16PF Questionnaire predict actual behavior better than the Big 5 Global Factors. For example, one extravert (a bold, fearless, high-energy type) may differ considerably from another (a sweet, warm, sensitive type), depending on the extraversion-related primary scale score patterns, so deeper analysis is typically warranted." Extracted from the 16PF5 Manual

 
The output of the 16PF5 test are 16 variables STens (Standard Tens) taking integer values from 1 to 10. STens divide the score scale into ten units.
STens have the advantage that they enable results to be thought of in terms of bands of scores, rather than absolute raw scores. These bands are narrow enough to distinguish statistically significant differences between candidates, but wide enough not to over emphasize minor differences between candidates.






Online Dating sites and Personality Based recommenders have very big databases, in the range of 20 000 000 (twenty million) profiles, so the Big 5 model is not enough for predictive purposes.
If they use the Big 5 model, the whole precision is less than you could achieve searching by your own!!!



 The entire Online Dating Industry for serious daters in 1st World Countries is a HOAX, performing as a Big Online Casino, with a low effectiveness/efficiency level of their matching algorithms (less than 10%), in the same range as searching by your own.
Actual online dating sites offering compatibility matching methods are only fueled by big marketing budgets and not by serious scientific evidence. No one ( eHarmony, Chemistry, PerfectMatch, PlentyOfFish Chemistry Predictor, MeeticAffinity, Be2, RewardingLove, Parship, True, etc) can prove its matching algorithm can match prospective partners who will have more stable and satisfying relationships 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 their members.

They are all like placebo, as:
* Actual online dating sites offering compatibility matching methods, when calculating compatibility between prospective mates, have less or at least the same precision as searching on one's own. [in the range of 3 or 4 persons compatible per 1,000 persons screened]
* That is because they use:
a) simplified versions of personality traits, instead of the 16PF5 or similar with the complete inventory (16 variables)
b) inadequate quantitative methods to calculate compatibility between prospective mates.

To solve that problem I propose:
1) the 16PF5 or similar normative personality test to measure personality of normal persons over 26 years old interested in serious dating.
No actual online dating site offering compatibility matching methods uses the 16PF5 normative test available in different languages.
2) a new quantitative method to calculate compatibility between prospective mates, based on quantized pattern comparison (part of pattern recognition by correlation)
The value of my algorithm is to achieve far more precision than searching on one's own [in the range of 3 persons compatible per 100,000 persons screened, 100 times better than actual competitors]


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!

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.

  
Also:
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 but there are different formulas to calculate similarity.
Recommender systems are morphing to ......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates, because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
(Personality traits are highly stable in persons over 25 years old to 45 years old)

---------------------------------
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 market remains enormous!! 

Wednesday, June 26, 2013

"The mobile dating market survey 2013 Germany, Austria, Switzerland"


Online Dating News and Metaflake launched "The mobile dating market survey 2013 Germany, Austria, Switzerland"

Based on an examination of 70 leading suppliers

The report covers 3 main points:
1) What is Mobile Dating?
2) The mobile dating offer
3) The mobile dating use (3.9 The Mobile dating revenues )


Please read also:
Internet Trends report 2013 from KPCB
mobile applications adoption rate
Mobile Operators' Business Models
"The Mobile Digital Omnivore" from ComScore UK
Full Webinar and some slides LATAM Digital Future 2013

2013 Latin America Digital Future in Focus Report by comScore
mobile concept evolving, meaning tablets with Wi-Fi Network access



Monday, June 24, 2013

Photos from iDate Beverly Hills Conference last June 5-7, 2013

Some photos from iDate Beverly Hills Conference last June 5-7, 201,the "Mobile Dating Conference" in Los Angeles.




- Mobile phones and tablets continue to account for a growing amount of digital traffic.
The  mobile concept evolving, meaning tablets with Wi-Fi Network access

The Online Dating Industry needs to kill the Matchmaking Industry, like computers killed typewriters
 Even Mark Brooks had posted about " iDating Industry Misses The Boat".
 NO INNOVATIONS SINCE YEARS IN THE ONLINE DATING INDUSTRY.

Friday, June 21, 2013

New Video Dating App ???

An article at Mashable talks about a New Video Dating App.

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.

I agree that the entire Online Dating Industry for serious daters in 1st World Countries is a HOAX, performing as a Big Online Casino, with a low effectiveness/efficiency level of their matching algorithms (less than 10%), in the same range as searching by your own.
Actual online dating sites offering compatibility matching methods are only fueled by big marketing budgets and not by serious scientific evidence. No one ( eHarmony, Chemistry, PerfectMatch, PlentyOfFish Chemistry Predictor, MeeticAffinity, Be2, RewardingLove, Parship, True, etc) can prove its matching algorithm can match prospective partners who will have more stable and satisfying relationships 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 their members.

They are all like placebo, as:
* Actual online dating sites offering compatibility matching methods, when calculating compatibility between prospective mates, have less or at least the same precision as searching on one's own. [in the range of 3 or 4 persons compatible per 1,000 persons screened]
* That is because they use:
a) simplified versions of personality traits, instead of the 16PF5 or similar with the complete inventory (16 variables)
b) inadequate quantitative methods to calculate compatibility between prospective mates.

To solve that problem I propose:
1) the 16PF5 or similar normative personality test to measure personality of normal persons over 26 years old interested in serious dating.
No actual online dating site offering compatibility matching methods uses the 16PF5 normative test available in different languages.
2) a new quantitative method to calculate compatibility between prospective mates, based on quantized pattern comparison (part of pattern recognition by correlation)


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!

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.

Thursday, June 20, 2013

PAPER: "Introducing Docear's Research Paper Recommender System"

Docear's Research Paper Recommender System

"Docear does not only know which papers a researcher currently is reading but also which parts of an article he considers particularly important. This allows highly personalized recommendations."


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 but there are different formulas to calculate similarity.
Recommender systems are morphing to ......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates, because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
(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.



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 market remains enormous!!

Please read:
The next wave of innovation

Wednesday, June 19, 2013

Recommendation Systems in Various Domains.

PAPER "Recommendation Systems in Various Domains."



Please remember the main disadvantage with recommendation engines based on collaborative filtering is when users instead of providing their personal preference try to guess the global preference and they introduce bias in the recommendation algorithm.

------------------

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 but there are different formulas to calculate similarity.
Recommender systems are morphing to ......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates, because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
(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.



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 market remains enormous!!
 


EMPIRE 2013: Emotions and Personality in Personalized Services


The EMPIRE workshop attempted to provide some answers to the growing interest of the user modeling research community on the role of human factors, especially personality and emotions, on various aspects of user modeling.

1) Building Systems to Capture, Measure, and Use Emotions and Personality
2) Personality-Based Recommendation in e-Commerce
3) Relating Personality Types with User Preferences in Multiple Entertainment Domains
4) Exploring Relations between Personality and User Rating Behaviors
5) Design and Development of an empirical smiley-based (emoticons) affective instrument.
6) Personality and Social Context: Impact on Emotion Induction from Movies
http://ceur-ws.org/Vol-997/empire2013_proceedings.pdf
-------------------------------------------------

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 but there are different formulas to calculate similarity.
Recommender systems are morphing to ......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates, because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
(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.



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 market remains enormous!!


Sunday, June 16, 2013

Fake profiles at Wamba / part 2

Wamba is like a copycat of Badoo, but worse. The site is really awful, with fake profiles. I suspect they had bought a bunch of profiles to fill the initial database.
Some Argentinean cities with misspellings:
Cordova instead of Córdoba.
Rosary instead of Rosario.
Olives instead of Olivos.
The site is in English instead of Spanish.
Some profiles have descriptions in Russian.
Here are some screenshots.







Nobody is going to pay for using Wamba, here, in South America. Wamba is not going to get traction because Badoo is better and free (for social dating / casual dating).

Please read also
fake profiles for online dating sites 
Badoo mysteries (part 1)
Badoo mysteries (part 2)
Badoo mysteries (part 3
Badoo Brazil / Badoo Brasil 



How to detect fake profiles in Argentina & Uruguay

3 big South American failed proposals. 

The White Label Dating enigma / part 3
The White Label Dating enigma / part 2
The White Label Dating enigma / part 1

Saturday, June 15, 2013

The next wave of innovation!




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 market remains enormous!!

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 but there are different formulas to calculate similarity.
Recommender systems are morphing to ......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates, because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
(Personality traits are highly stable in persons over 25 years old to 45 years old)



The entire Online Dating Industry for serious daters in 1st World Countries is a HOAX, performing as a Big Online Casino, with a low effectiveness/efficiency level of their matching algorithms (less than 10%), in the same range as searching by your own.
Actual online dating sites offering compatibility matching methods are only fueled by big marketing budgets and not by serious scientific evidence. No one ( eHarmony, Chemistry, PerfectMatch, PlentyOfFish Chemistry Predictor, MeeticAffinity, Be2, RewardingLove, Parship, True, etc) can prove its matching algorithm can match prospective partners who will have more stable and satisfying relationships 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 their members.

They are all like placebo, as:
* Actual online dating sites offering compatibility matching methods, when calculating compatibility between prospective mates, have less or at least the same precision as searching on one's own. [in the range of 3 or 4 persons compatible per 1,000 persons screened]
* That is because they use:
a) simplified versions of personality traits, instead of the 16PF5 or similar with the complete inventory (16 variables)
b) inadequate quantitative methods to calculate compatibility between prospective mates.


The Big Five normative personality test is obsolete, it has been proven as an incomplete and incorrect model of personality.
The HEXACO (a.k.a. Big Six) is another oversimplification. Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the BIG 5 model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead.


To solve that problem I propose:
1) the 16PF5 or similar normative personality test to measure personality of normal persons over 26 years old interested in serious dating.
No actual online dating site offering compatibility matching methods uses the 16PF5 normative test available in different languages.
2) a new quantitative method to calculate compatibility between prospective mates, based on quantized pattern comparison (part of pattern recognition by correlation)
The value of my algorithm is to achieve far more precision than searching on one's own [in the range of 3 persons compatible per 100,000 persons screened, 100 times better than actual competitors]


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!

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.


The Teller–Ulam design is the nuclear weapon design concept used in most of the world's multi-megaton-range thermonuclear weapons;  a 1,000 times more powerful than Hiroshima's Little Boy. In most applications the bulk of its destructive energy comes from uranium fission, not hydrogen/deuterium/tritium fusion
Its essential features, which officially remained secret for nearly three decades, are:
1) separation of stages into a triggering "primary" explosive and a much more powerful "secondary" explosive
2) compression of the secondary by X-rays coming from nuclear fission in the primary, a process called the "radiation implosion" of the secondary,
3) heating of the secondary, after cold compression, by a second fission explosion inside the secondary.

The Online Dating Industry needs a very powerful algorithm like the "Teller Ulam design". In this case 100 times more powerful than actual matching algorithms.

Can you guess which is that powerful matching algorithm?


--------------------------
Fernando Ardenghi's List of Firsts:

- First person in the World to say the entire Online Dating Industry in 1st World Countries is a HOAX.
- First person in the World to say many Online Dating sites like eHarmony, PerfectMatch, Chemistry, PlentyOfFish Chemistry Predictor, MeeticAffinity, Parship, Be2 and others are performing as placebo, like patent medicine.
- First person in the World to discover the Online Dating Sound Barrier problem.
- First and Only person in the World to solve the Online Dating Sound Barrier problem.
- First person in the World to suggest the normative 16PF5 test or similar like 15FQ+ to measure personality of daters instead of ipsative tests like PerfectMatch or Chemistry or other normative less powerful tests like the Big Five.
- First person in the World to say Online Dating sites should check if women are taking contraceptive pills or other hormonal therapy.
- First person in the World to reverse engineering several online dating sites offering compatibility matching methods.
- First person in the World to notice Personality Based Recommender Systems are like compatibility matching engines.
- First person in the World to suggest Online Dating sites should show Compatibility Distribution Curves to every and each dater.
- First person in the World to compile research about Theories of Romantic Relationship Development.
- First person in the World to openly say Conferences for the Online Dating Industry like iDate and ODS are rubbish.

Friday, June 14, 2013

beautiful offices at POF

"POF's offices are modern, warm, collaborative and healthy."

I always thought the IAC had planned to buy or destroy PlentyOfFish after a 2 years long negotiations trying to acquire it.  

Please remember
The main secret of PlentyOfFish (POF): As a free/freemium online dating site, it is only a marketing tool to send prospective customers to paid sites like Match, Chemistry, eHarmony, even Adult Friend Finder. POF collects big payments: the commissions for subscribers memberships payed from other online dating sites to POF.  POF needs to show ads or links mainly from online paid sites, then send prospective customers there and receive commissions when they acquire a paid membership.

Revenue of IAC Personals (Match, Chemistry, OKCupid, Meetic, ParPerfeito, MeeticAffinity, SinglesNet, People's Media Communities, DateHookUp and others) is in the range of USD750 million.
Revenue of eHarmony' sites (USA, Canada, Australia, UK and Brazil) is in the range of USD250 million.
Revenue of IAC Personals + Revenue of eHarmony' sites == USD1,000 Million == USD1B
Revenue of PlentyOfFish Media's sites (PlentyOfFish, eVow and several dating sites powered by a white label dating company) is in the range of USD40 million.
USD40million / USD1,000 Million == 4% of market (in revenue).
PlentyOfFish has the traffic but others receive the money.

Thursday, June 13, 2013

the new, redesigned Myspace?

I only see one chance to Myspace to gain traction and resurrect. Myspace should morph to a Personality Based Recommender System. Because 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 market remains enormous!!!

Wednesday, June 12, 2013

LIST of Obsolete Online Dating Sites

Here is a partial list of Obsolete Online Dating Sites offering compatibility matching methods
















eHarmony

TeAmoRU
Chemistry
PlentyOfFish (POF) offering the PlentyOfFish Chemistry Predictor
eVow Compatibility Matching site
MeeticAffinity
PerfectMatch
True (a.k.a as SinglesBee)
Parship
eCift
Dopasowani
Doskonalapara
PembePanjur

Those sites have  high acquisition costs and can not abandon the attracting, converting and retaining marketing stages; the automatic renewal of their members's subscriptions with dirty credit-card billing trickery.


NO INNOVATIONS since years in the Online Dating Industry.
Instead of innovating, they went offline like Match with Stir events


I had reviewed over 55 compatibility matching engines intended for serious dating since 2003, when I had discovered "the online dating sound barrier" problem.


WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 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!
The Online Dating Industry needs a very powerful algorithm like the "Teller Ulam design". In this case 100 times more powerful than actual matching algorithms.

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 main secret of PlentyOfFish (POF)

The main secret of PlentyOfFish (POF): As a free/freemium online dating site, it is only a marketing tool to send prospective customers to paid sites like Match, Chemistry, eHarmony, even Adult Friend Finder. POF collects big payments: the commissions for subscribers memberships payed from other online dating sites to POF.  POF needs to show ads or links mainly from online paid sites, then send prospective customers there and receive commissions when they acquire a paid membership.
PlentyOfFish had reached operating ceiling where it operates, mainly in Canada, United Kingdom, United States and Ireland, less in Australia, New Zealand, Spain, Italy, Germany and France.


When free users got tired of free sites, they migrate to a paid one.
Purely free online dating sites, ads supported only like OasisActive, AmorenLinea, DatingChile or DatingArgentina, Pachetes, CitasWeb, AlguienAQuiénQuerer  had failed even in the South American Market, where nobody has credits cards or nobody wants to pay for a membership.
Only ads supported sites failed because operating costs are bigger than revenue.
 
I thought the IAC had planned to buy or destroy PlentyOfFish after a 2 years long negotiations trying to acquire it.  


Revenue of IAC Personals (Match, Chemistry, OKCupid, Meetic, ParPerfeito, MeeticAffinity, SinglesNet, People's Media Communities, DateHookUp and others) is in the range of USD750 million.
Revenue of eHarmony' sites (USA, Canada, Australia, UK and Brazil) is in the range of USD250 million.
Revenue of IAC Personals + Revenue of eHarmony' sites == USD1,000 Million == USD1B
Revenue of PlentyOfFish Media's sites (PlentyOfFish, eVow and several dating sites powered by a white label dating company) is in the range of USD40 million.
USD40million / USD1,000 Million == 4% of market (in revenue).
PlentyOfFish has the traffic but others receive the money.

Monday, June 10, 2013

Badoo enigma (June 2013)

Sudden spike in traffic rank at Badoo, something strange happening.



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 market remains enormous!!

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 but there are different formulas to calculate similarity.
Recommender systems are morphing to ......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates, because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
(Personality traits are highly stable in persons over 25 years old to 45 years old)

The entire Online Dating Industry for serious daters in 1st World Countries is a HOAX, performing as a Big Online Casino, with a low effectiveness/efficiency level of their matching algorithms (less than 10%), in the same range as searching by your own.

Actual online dating sites offering compatibility matching methods are only fueled by big marketing budgets and not by serious scientific evidence. No one ( eHarmony, Chemistry, PerfectMatch, PlentyOfFish Chemistry Predictor, MeeticAffinity, Be2, RewardingLove, Parship, True, etc) can prove its matching algorithm can match prospective partners who will have more stable and satisfying relationships 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 their members.

They are all like placebo, because
* Actual online dating sites offering compatibility matching methods, when calculating compatibility between prospective mates, have less or at least the same precision as searching on one's own. [in the range of 3 or 4 persons compatible per 1,000 persons screened]
* That is because they use:
a) simplified versions of personality traits, instead of the 16PF5 or similar with the complete inventory (16 variables)
b) inadequate quantitative methods to calculate compatibility between prospective mates.

To solve that problem I propose:
1) the 16PF5 or similar normative personality test to measure personality of normal persons over 26 years old interested in serious dating.
No actual online dating site offering compatibility matching methods uses the 16PF5 normative test available in different languages.
2) a new quantitative method to calculate compatibility between prospective mates, based on quantized pattern comparison (part of pattern recognition by correlation)
The value of my algorithm is to achieve far more precision than searching on one's own [in the range of 3 persons compatible per 100,000 persons screened, 100 times better than actual competitors]


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!

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.


The Teller–Ulam design is the nuclear weapon design concept used in most of the world's multi-megaton-range thermonuclear weapons;  a 1,000 times more powerful than Hiroshima's Little Boy. In most applications the bulk of its destructive energy comes from uranium fission, not hydrogen/deuterium/tritium fusion
Its essential features, which officially remained secret for nearly three decades, are:
1) separation of stages into a triggering "primary" explosive and a much more powerful "secondary" explosive
2) compression of the secondary by X-rays coming from nuclear fission in the primary, a process called the "radiation implosion" of the secondary,
3) heating of the secondary, after cold compression, by a second fission explosion inside the secondary.

The Online Dating Industry needs a very powerful algorithm like the "Teller Ulam design". In this case 100 times more powerful than actual matching algorithms.

Can you guess which is that powerful matching algorithm?