VisualDNA is a promising system. Remember, there is a profile builder and some other tools, it’s not only about matching. As for IntroAnalytics. You have no idea what they are capable of, and neither do they at this point, so I’d hold your tongue about judging them just yet.

Fernando, you should start a blog and post your findings there, then link to it. Really drill home the 3-per-100 matches, thats a *powerful* argument.

As for the reality of 12 per million, that’s *never* going to happen. There’s math, science, psychology and the fact that we are flawed beings to take into account, but your sentiment rings true. Gotta build some noise into your own parameters to make it more real-world.

improve online dating efficiency by 10 percent???

That is wasting precious time!

The Online Dating Industry does not need a 10% improvement. It does need “a 100 times better improvement”

If you check Match or any other site performing as a Powerful Searching Engine, you will see [on average] a person (mostly men) will strongly like 3 or 4 persons per 100 (one hundred) persons or 30 to 40 persons per 1,000 (one thousand) persons screened, then that person will send messages to them an only [on average] 10% will strongly like (mostly women) and reply to the person who initiated the contact.
Searching on one’s own is in the range [on average] of 3 or 4 persons who search and select to each other per 1,000 persons screened.

If you check PerfectMatch or any other site performing mostly as Matching based on Self-Reported Data / Bidirectional Recommendation Engine (personal preferences, likes and dislikes, ipsative personality tests: MBTI, DISC) you will see [on average] a person receives 3 or 4 persons as recommended for dating purposes per 1,000 (one thousand) persons screened in exactly the same range of searching on one’s own.

If you check eHarmony or any other site like Chemisty, Parship, Be2, Meetic, etc performing mostly as a Compatibility Matching Algorithm (those sites are mostly using different versions of the Big5 normative personality test as its core) you will see [on average] a person receives 3 or 4 persons as highly compatible for dating purposes per 1,000 (one thousand) persons screened in exactly the same range of searching on one’s own and mutual filtering methods.

If you carefully complete all that homework, You will re-discover what I had discovered some years ago, by 2003, “the online dating sound barrier” for Compatibility Matching Algorithms.

Breaking “the online dating sound barrier” is to achieve far better precision than searching on one’s own or mutual filtering.

Actual Online Dating sites are fully intoxicated with different versions of the FFI five factor inventory / Big5 or other proprietary models instead (like Chemistry or PerfectMatch), to measure personality traits, and all of those tests are more simplified versions than the 16PF5 normative personality test.

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 6.7 * 10E9

(WorldWide, there are over 5,000 -five thousand- online dating sites, but no one is using the 16PF5)

- 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 revolutionize the Online Dating Industry.

All other proposals like VisualDNA, IntroAnalytics, Basisnote are ………….. NOISE

Regards,

Fernando Ardenghi.
Buenos Aires.
Argentina.
ardenghifer@gmail.com