Sunday, April 8, 2012
paper: "AUTOMATED PERSONALITY CLASSIFICATION"
PAPER "AUTOMATED PERSONALITY CLASSIFICATION"
"Abstract – In this paper we give a description of the problem of the automated personality classification (APC) and the presentation of the existing solutions to
this problem. As a scientific contribution, we present a classification of the existing solutions to the problem of the APC. We also expose several ideas for development of new solutions to this problem and for improvement of the existing ones. Future directions for solving the problem of the APC in the context of social networks are also discussed."
"In [32] (paper 'Personality based latent friendship mining') proposed a method that solves the problem finding compatible friends among bloggers (Figure 3). Unlike previous approaches to solving this problem where it was assumed that compatible bloggers write about related subjects, the authors here using the hypothesis that bloggers are compatible with similar personality characteristics."
"4) IDEAS FOR FUTURE WORK
In this section we present some ideas for improving AKL.
For clarity, the ideas are categorized as follows way: A) new types of Corps B) new ways of measuring personality traits, C) a new method for classifying and D) Dynamic AKL (automated classification of personality)."
(You can use Google to translate from Serbian to English)
------------------------------------------------------------
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.
LIFEPROJECT METHOD is also suitable for personality based recommender systems because it uses 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 (estimated OCT 2011)
and
calculates similarity between persons with a quantized pattern comparison method (part of pattern recognition by cross-correlation). It takes into account the score and the trend to score of any pattern.
LIFEPROJECT METHOD is like the Teller Ulam design for recommender systems and the Online Dating Industry.
Saturday, April 7, 2012
práticas fraudulentas do eHarmony Inc.
práticas fraudulentas do eHarmony Inc. [Site de Relacionamentos eHarmony Ltda.] que opera no Brasil através de sua versão eHarmony site brasileiro.
eHarmony Brasil está agora a oferecer um fim de semana Comunicação Livre que não é livre, é apenas um truque sujo para converter os visitantes em membros pagos.
eHarmony Brasil promove-se como "cientificamente comprovado", mas é uma farsa, eles não têm qualquer prova.
paper "Explaining the user experience of recommender systems"
I had read the paper "Explaining the user experience of recommender systems" and I think it is unnecessarily complicated.
Because 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!!!
Thursday, April 5, 2012
eHarmony's secret sauce!
I had emailed eHarmony Inc. about its secret sauce. Guess it! That secret sauce does not exist, the algorithm is performing as placebo.
Tuesday, April 3, 2012
stupid investors series, today SKOUT
stupid investors series, today SKOUT
Monday, April 2, 2012
Meetic 10 years!
Meetic 10 years, old and obsolete site.
10 years scamming members with automatic rebilling and other credit cards trickery.featured in OPW
This April Fools Day I was featured at OPW, but I think every day is a Fools Day for daters.
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%).
Subscribe to:
Posts (Atom)
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...
-
After further consideration and evaluation, nothing gonna happen, it was only a smoke trick, the investigation was only a piece of toilet...
-
http://www.onlinepersonalswatch.com/news/2016/03/interview-with-affinitas-new-ceo-jeronimo-folgueira.html Please see also: http://onlineda...
-
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...


















