Lack Of Innovation & Decadence can summarize the Online Dating Industry. C-Level executives are more worried about their golf scores than their company’s long term strategy and innovations. C-level
executives are cooking barbecues under the water (selling smoke) and
not paying attention to latest research from Academics which could be
beneficial for the Online Dating Industry. Wasting precious time with Matchmakers which should be obsolete. Very easy to copycat eHarmony, but very difficult to innovate: a 100 times better algorithm than eHarmony. http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/very-easy-to-copycat-eharmony-but-very.html
Please notice Tinder is in big war with Badoo, and can not outperform it. And Badoo also owns Bumble. Match Group, parent company of Tinder, has a big debt of USD 1.2 Billion. The
Match Group is only a collection of old and obsolete online dating
sites: Match, Meetic, Chemistry, OkCupid, LoveScout24 (FriendScout24),
OurTime, HowAboutWe and many more! Match Group does not know how to innovate in the Online Dating Industry.
The mission of Tinder was to kill Badoo, but it seemsTinder is killing Match.
Lack Of Innovation & Decadence can summarize the Online Dating Industry. C-Level executives are more worried about their golf scores than their company’s long term strategy and innovations. C-level
executives are cooking barbecues under the water (selling smoke) and
not paying attention to latest research from Academics which could be
beneficial for the Online Dating Industry. Wasting precious time with Matchmakers which should be obsolete. Very easy to copycat eHarmony, but very difficult to innovate: a 100 times better algorithm than eHarmony. http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/very-easy-to-copycat-eharmony-but-very.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)
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. Which is the RIGHT approach to innovate in the Personality Based Recommender Systems Arena?
The same approach to innovate in the Online Dating Industry
== 16PF5 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 16PF5
test instead and another method to calculate similarity.
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing. Without
offering the NORMATIVE 16PF5 (or similar test measuring exactly the 16
personality factors) for serious dating, it will be impossible to
innovate and revolutionize the Online Dating Industry.
The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement"
Bad News, Match Group overpaid USD 575 Million for PlentyOfFish. http://onlinedatingsoundbarrier.blogspot.com.ar/2015/10/bad-news-match-group-overpaid-usd-575.html The Match Group overpaid for PlentyOfFish
(It was insane, USD575 Million for PlentyOfFish that past its prime 2
years ago). The Match Group had been doing all wrong, acquiring rotten
companies to show illusory success to its investors.
Tinder Brand On Fire? Gives Fuel To Match Group Stock? http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/tinder-brand-on-fire-gives-fuel-to.html Please notice Tinder is in big war with Badoo, and can not outperform it.
And Badoo also owns Bumble. Match Group, parent company of Tinder, has a big debt of USD 1.2 Billion. The
Match Group is only a collection of old and obsolete online dating
sites: Match, Meetic, Chemistry, OkCupid, LoveScout24 (FriendScout24),
OurTime, HowAboutWe and many more! Match Group does not know how to innovate in the Online Dating Industry.
Tinder Brand On Fire? Gives Fuel To Match Group Stock? http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/tinder-brand-on-fire-gives-fuel-to.html Please notice Tinder is in big war with Badoo, and can not outperform it. And Badoo also owns Bumble. Match Group, parent company of Tinder, has a big debt of USD 1.2 Billion. The
Match Group is only a collection of old and obsolete online dating
sites: Match, Meetic, Chemistry, OkCupid, LoveScout24 (FriendScout24),
OurTime, HowAboutWe and many more! Match Group does not know how to innovate in the Online Dating Industry.
Tinder Brand On Fire? Gives Fuel To Match Group Stock? http://onlinedatingsoundbarrier.blogspot.com.ar/2016/10/tinder-brand-on-fire-gives-fuel-to.html Please notice Tinder is in big war with Badoo, and can not outperform it. And Badoo also owns Bumble. Match Group, parent company of Tinder, has a big debt of USD 1.2 Billion. The
Match Group is only a collection of old and obsolete online dating
sites: Match, Meetic, Chemistry, OkCupid, LoveScout24 (FriendScout24),
OurTime, HowAboutWe and many more! Match Group does not know how to innovate in the Online Dating Industry.
The mission of Tinder was to kill Badoo, but it seemsTinder is killing Match.
Lack Of Innovation & Decadence can summarize the Online Dating Industry. C-Level executives are more worried about their golf scores than their company’s long term strategy and innovations. C-level
executives are cooking barbecues under the water (selling smoke) and
not paying attention to latest research from Academics which could be
beneficial for the Online Dating Industry. Wasting precious time with Matchmakers which should be obsolete.
Lack Of Innovation & Decadence can summarize the Online Dating Industry. C-Level executives are more worried about their golf scores than their company’s long term strategy and innovations. C-level
executives are cooking barbecues under the water (selling smoke) and
not paying attention to latest research from Academics which could be
beneficial for the Online Dating Industry. Wasting precious time with Matchmakers which should be obsolete.
The rapid growth of social network services has produced a considerable amount of data, called big social data. Big social data are helpful for improving personalized recommender systems because these enormous data have various characteristics. Therefore, many personalized recommender systems based on big social data have been proposed, in particular models that use people relationship information. However, most existing studies have provided recommendations on special purpose and single-domain SNS that have a set of users with similar tastes, such as MovieLens and Last.fm; nonetheless, they have considered closeness relation. In this paper, we introduce an appropriate measure to calculate the closeness between users in a social circle, namely, the friendship strength. Further, we propose a friendship strength-based personalized recommender system that recommends topics or interests users might have in order to analyze big social data, using Twitter in particular. The proposed measure provides precise recommendations in multi-domain environments that have various topics. We evaluated the proposed system using one month's Twitter data based on various evaluation metrics. Our experimental results show that our personalized recommender system outperforms the baseline systems, and friendship strength is of great importance in personalized recommendation. 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.
In case you had not noticed,
recommender systems are morphing to compatibility matching engines, as
the same used in the Online Dating Industry. Which is the RIGHT approach to innovate in the Personality Based Recommender Systems Arena?
The same approach to innovate in the Online Dating Industry
== 16PF5 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 16PF5
test instead and another method to calculate similarity. High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing. Without
offering the NORMATIVE 16PF5 (or similar test measuring exactly the 16
personality factors) for serious dating, it will be impossible to
innovate and revolutionize the Online Dating Industry. The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement"
All other proposals are NOISE and perform as placebo.
Only 3 major discoveries can help to revolutionize the online dating industry. http://onlinedatingsoundbarrier.blogspot.com.ar/2013/12/the-8-tips-to-innovate-in-online-dating.html The 3 milestone discoveries of the 2001 - 2010 decade for Theories of Romantic Relationships Development are: I) Several studies showing contraceptive pills users make different mate choices, on average, compared to non-users. "Only short-term but not long-term partner preferences tend to vary with the menstrual cycle" II)
People often report partner preferences that are not compatible with
their choices in real life. (Behavioural recommender systems or other
system that learns your preferences are useless) III) What is
important in attracting people to one another may not be important in
making couples happy. Compatibility is all about a high level on
personality similarity between prospective mates for long term mating
with commitment. The Online Dating Industry does not need a 10% improvement, a 50% improvement or a 100% improvement. It does need "a 100 times better improvement"
All other proposals are NOISE and perform as placebo
