for Improving the Accuracy of Collaborative Recommendations
http://www.mecs-press.org/ijitcs/ijitcs-v11-n6/IJITCS-V11-N6-5.pdf
PAPER: A new similarity measure for collaborative filtering based recommender systems
https://onlinedatingsoundbarrier.blogspot.com/2019/09/paper-new-similarity-measure-for.html
PAPER: A Study on the Accuracy of Prediction in Recommendation System Based on Similarity Measures
https://onlinedatingsoundbarrier.blogspot.com/2019/03/paper-study-on-accuracy-of-prediction.html
TC article: Facebook hired eHarmony’s chief scientist
https://onlinedatingsoundbarrier.blogspot.com/2018/05/tc-article-facebook-hired-eharmonys.html
Another HOAX: Dating app uses machine learning to find your most compatible partner
https://onlinedatingsoundbarrier.blogspot.com/2017/04/another-hoax-dating-app-uses-machine.html
Scientists are studying your tweets, YouTube videos, Instagram posts. Is that ethical?
https://onlinedatingsoundbarrier.blogspot.com/2019/04/scientists-are-studying-your-tweets.html
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)
https://onlinedatingsoundbarrier.blogspot.com/2019/05/paper-beyond-personalization-research.html
That is the only way to
improve recommender systems, to include the personality traits of their
users.
http://onlinedatingsoundbarrier.blogspot.com.ar/2017/01/paper-comparative-study-of-people-to_14.html
They need to calculate personality similarity between users but
there are different formulas to calculate similarity.
In case you
did not notice: Recommender systems are morphing to compatibility
matching engines, as the same used in the Online Dating Industry for
years, with low success rates until now because they mostly use the Big Five model to
assess personality and the Pearson correlation coefficient to calculate
similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old.
The key to long-lasting romance: COMPATIBILITY
is exactly STRICT PERSONALITY SIMILARITY and not "meet other people with
similar interests or political views".
Which is the RIGHT approach to innovate in the Personality Based Recommender Systems Arena?
The same approach to innovate in the Online Dating Industry
== 16PF6 test or similar to assess personality traits and a new method
to calculate similarity between quantized patterns.
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 16PF6
test instead and another method to calculate similarity.
Breaking "the online dating sound barrier" is to achieve at least:
3 most compatible persons in a 100,000 persons database.
12 most compatible persons in a 1,000,000 persons database.
48 most compatible persons in a 10,000,000 persons database.
100 times better than Compatibility Matching Algorithms used by actual online dating sites!
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
Without
offering the NORMATIVE 16PF6 (or similar test measuring exactly the 16
personality factors) for serious dating, it will be impossible to
innovate and revolutionize the Online Dating Industry.
