Tuesday, October 16, 2012

PAPER "Finding the one: A process model of human mate selection"

Interesting new paper about mate selection.

Unfortunately the authors had failed to take into account all the new research in theories of romantic relationships development, which says: "Compatibility is all about a high level on personality* similarity* between prospective mates for long term mating with commitment"
*personality measured with a normative test.
*similarity: there are different ways to calculate similarity, it depends on how mathematically is defined. i.e. STRICT PERSONALITY SIMILARITY and not “meet other people with similar interests”

Online Dating for serious daters does not need to be more social, it needs to be more effective/efficient. It needs to reduce the false positives problem.
The Online Dating Industry needs innovations but they will come from only one source: the latest discoveries in theories of romantic relationships development with commitment.
Only 3 major discoveries can help to revolutionize the online dating industry.
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 at all!)
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.

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.
Have you seen they need to calculate personality similarity between users?
Have you seen there are different formulas to calculate similarity?
In case you did not notice, recommender systems are morphing to ………. compatibility matching engines!!!
They mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity, and can not break the online dating sound barrier.
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!

What comes after Social Networking?
My bet: 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 remain enormous!!

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