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!
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