like:
- An Biting Two-Phase Co-op Filtering Algorithm for Recommender Systems
- Soft Functioning Recommender Assumption
- Application turn-off of recommender system:a survey
- An Senior Content-based Guidance Proposal Ended Co-op Predictions and Indistinct Regularity Procedures
- Someato: characterizing and exploiting deportment and interests of users in social media
- Comparing the Staples in Undeveloped Degree Models for Recommender Systems
- An Adaptive Guidance Proposal Based on Small-World Unarticulated Plan Link
- Through Vigorously Promoted Experts for Music Guidance
- Improving Co-op Filtering Based Recommender Systems Through Pareto Power
I had contacted some of persons authors to tell them:
Do you be familiar with that Personality Based Recommender Systems are the adjoining period of recommender systems when they perform far better than Behavioural ones (ancient endeavors and pattern of personal preferences)?
That is the only way to improve recommender systems, to cover the personality traits of their users. They need to steadiness personality evaluation relating users but give are level formulas to steadiness evaluation. In covering you had not noticed, recommender systems are morphing to.......... compatibility amicable engines, as the self-same used in the Online Dating Industry for example time, with low success duty until now when they essentially use the BIG 5 to assess personality and the Pearson link coefficient to steadiness evaluation.
The BIG 5 (Big Five) normative personality test is obsolete. The HEXACO (a.k.a. Big Six) is just starting out simplification. Online Dating sites call very big databases, in the range of 20,000,000 (twenty million) profiles, so the BIG 5 model or the HEXACO model are not sufficient for predictive purposes. That is why I propose the 16PF5 test preferably and just starting out method to steadiness evaluation. I Instant Regularity IN Personality PATTERNS with (a proprietary) pattern recognition by link method. It takes into item the appear and the fad to appear of any pattern. The same it takes into item women under hormonal treatment when countless studies showed contraceptive pills users make level mate choices, on have in mind, compared to non-users. "Separate passing but not permanent friend preferences control to vary with the menstrual provoke".
IF YOU Normal TO BE Head of state IN THE "PERSONALIZATION Juncture" == Personality BASED RECOMMENDER SYSTEMS, YOU Want Go down with THE............ ONLINE DATING Industry Head of state OF ALL!
Happy see my own project at:
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/06/the-next-wave-of-innovation.html
Happy read also:
A new plague: online dating startups!
A new plague: compatibility amicable engines.
Director Ask again and again of ineffective recommender systems 2012.
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