OPW – May 26 – As we approach iDate Beverly Hills 2014, please enjoy Mark Brooks’ full keynote presentation from iDate Las Vegas in January. The following topics are covered:
- Market Overview
- Public Companies
- Mobile
- Funding & Acquisitions
- Top News
- The Future
- Lessons From The Deadpool
- Valuations
Learn more about Courtland Brooks
If you can update and pay more attention to Internet Dating Science please!
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 until now because they mostly use the Big Five to assess personality and the Pearson correlation coefficient to calculate similarity.
The Big Five (Big 5, FFI, FFM, OCEAN model) normative personality test is obsolete.
The Big Five normative test had been proven/revealed as an incomplete and incorrect model to assess/measure personality of persons. Now replaced by HEXACO or Big Six test.
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 Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.
If you want to be first in the “personalization arena” == Personality Based Recommender Systems, you should understand HOW TO INNOVATE in the ………… Online Dating Industry first of all!
Hundreds of Researchers from Recommender Systems Arena will begin soon to learn from the Online Dating Industry.
If you can update and pay more attention to Internet Dating Science please!
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 until now because they mostly use the Big Five to assess personality and the Pearson correlation coefficient to calculate similarity.
The Big Five (Big 5, FFI, FFM, OCEAN model) normative personality test is obsolete.
The Big Five normative test had been proven/revealed as an incomplete and incorrect model to assess/measure personality of persons. Now replaced by HEXACO or Big Six test.
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 Five model or the HEXACO model are not enough for predictive purposes. That is why I suggest the 16PF5 test instead and another method to calculate similarity.
If you want to be first in the “personalization arena” == Personality Based Recommender Systems, you should understand HOW TO INNOVATE in the ………… Online Dating Industry first of all!
Hundreds of Researchers from Recommender Systems Arena will begin soon to learn from the Online Dating Industry.