Sunday, July 22, 2012

PAPER: The effect of suspicious profiles on people recommenders

 Another useless paper for the Online Dating Industry:PAPER: "The effect of suspicious profiles on people recommenders"
As the world moves towards the social web, criminals also adapt their activities to these environments. Online dating websites, and more generally people recommenders, are a particular target for romance scams. Criminals create fake profiles to attract users who believe they are entering a relationship. Scammers can cause extreme harm to people and to the reputation of the website. This makes it important to ensure that recommender strategies do not favour fraudulent profiles over those of legitimate users. There is therefore a clear need to gain understanding of the sensitivity of recommender algorithms to scammers. We investigate this by (1) establishing a corpus of suspicious profiles and (2) assessing the effect of these profiles on the major classes of reciprocal recommender approaches: collaborative and content-based. Our findings indicate that collaborative strategies are strongly influenced by the suspicious profiles, while a pure content-based technique is not influenced by these users.

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%).
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, like eHarmony which uses Dyadic Adjustment Scale or other sites which use multivariate linear / logistic regression equations o other equations.

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.

Also there is a similarity trilogy between genetic, mate choice and personality based recommender systems.

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!
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.

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