http://www.diva-portal.org/smash/get/diva2:758781/FULLTEXT01.pdf
Most recommender algorithms in use today are slow to adapt to changes in user preferences. This is because they are focused towards model-building and offline calculation of recommendations. The fact that they require large amounts of information about users before they can make sensible recommendations does not help their case either. This work proposed an adaptive prediction scheme that makes real-time recommendations to users. ...
Please read:
Twitter teams with IBM for business analytics
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/10/twitter-teams-with-ibm-for-business.html
What comes after the Social Networking wave?
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.
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!
Subscribe to:
Post Comments (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...

-
1) Take into account women under hormonal treatment because several studies showed contraceptive pills users make different mate choices,...
-
What comes after the Social Networking wave? The Next Big Investment Opportunity on the Internet will be .... Personalization ! Perso...
-
In previous posts I had written that Innovations the Online Dating Industry needs will come from latest discoveries in theories of romantic ...
No comments:
Post a Comment