The 9th ACM Conference on Recommender Systems soon!

http://recsys.acm.org/recsys15/program/
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/03/the-9th-acm-conference-on-recommender.html

Vienna, Austria, 16th-20th September 2015
http://recsys.acm.org/recsys15/

Please remember:
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)
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/08/paper-personalized-recommendation.html
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.

In case you had not noticed, recommender systems are morphing to compatibility matching engines, as the same used in the Online Dating Industry.
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!
The next wave of innovation!
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/06/the-next-wave-of-innovation.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.  

PAPER Using Groups of Items to Bootstrap New Users in Recommender Systems

http://dl.acm.org/citation.cfm?id=2675210
from The 18th ACM conference on Computer-Supported Cooperative Work and Social Computing
March 14-18, 2015 | Vancouver, BC, Canada

http://cscw.acm.org/2015/submit/papers.php

See also:
Personalized recommendations based on time-weighted overlapping community detection
http://www.sciencedirect.com/science/article/pii/S0378720615000191

PAPER Trust-based Service Recommendation in Social Network
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/02/paper-trust-based-service.html
 
Please remember:
Behavioural recommender systems or other system that learns your preferences are useless for serious online dating purposes and 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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2015/02/article-how-dating-companies-are-having.html

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!

ACM Recommender Systems 2012 series.

Presentations:

"How Users Evaluate Each Other in Social Media"



Recommender systems (a.k.a recommendation engines) can be based on:

- past actions (as the formerly Beacon at Facebook)

- a pattern of personal preferences (by collaborative filtering, as the actual one at Facebook) The main disadvantage with recommendation engines based on collaborative filtering is when users instead of providing their personal preference try to guess the global preference and they introduce bias in the recommendation algorithm.

- personality traits of users.

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.
----------------------------------
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 remains enormous!!