about Dataclysm, the new book from OKCupid

Please DO NOT trust research conducted by OkCupid.
It is all rubbish, severely biased.
http://online.wsj.com/articles/when-websites-peek-into-private-lives-1409851575
http://www.businessweek.com/articles/2014-09-04/mining-okcupids-data-reveals-how-we-date-now#p1
http://www.businessweek.com/articles/2014-09-04/mining-okcupids-data-reveals-how-we-date-now#p2
Please see the post "Mofo and Other Mysteries" at OkTrends October 26th, 2009
http://blog.okcupid.com/index.php/mofo-and-other-mysteries/
The majority of OKCupid’s daters are big liars and cheaters, you cannot trust in what they say or do!!!

"46% of men and 30% of women say they are a genius, they think they are one in a thousand!"

OkCupid is for fun dating, for entertainment purposes, for instant gratifications; not for serious dating.
Do you remember the deleted post "Why You Should Never Pay For Online Dating"?
http://onlinedatingsoundbarrier.blogspot.com.ar/2010/04/okcupid-flawed-article.html
BIG DATA DATING is not the key to long-lasting romance.
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/big-data-use-cases-at-plenty-of-fish.html
Online Dating for serious daters does not need to be more social, it needs to be more effective/efficient.
It needs to reduce the false positives problem and big data dating IS NOT the key to long-lasting romance. The Online Dating Industry needs Innovations, but the innovations the Online Dating Industry needs will come from only one source: the latest discoveries in theories of romantic relationships development with commitment.
Personality traits are highly stable in persons over 25 to 45 years old (the group of persons who could be most interested in serious online dating)
The key to long-lasting romance is STRICT PERSONALITY SIMILARITY.
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/09/are-there-any-use-cases-of-social.html

Are there any use cases of social network-based Recommender systems?

question at Quora:

Are there any use cases of social network-based Recommender systems?
and
What is the currrent work going in the recommendation system?

My answers:
Synapse: the Match algorithm
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/05/synapse-match-algorithm.html

Facebook
PAPER "Private traits and attributes are predictable from digital records of human behavior"
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/03/paper-private-traits-and-attributes-are.html

OKCupid
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/07/okcupid-lied-to-users-about-their-love.html

Zoosk SmartPick
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/03/zoosk-smartpick-formerly-known-as.html

PlentyofFish
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/big-data-use-cases-at-plenty-of-fish.html
http://www.kdnuggets.com/2014/07/interview-thomas-levi-pof-online-dating-big-data.html

and some fresh papers like:

PAPER: Development of a group recommender application in a Social Network
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/05/paper-development-of-group-recommender.html

PAPER Improved Network-Based Recommendation Algorithm
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/09/paper-improved-network-based.html

PAPER A Personalized Recommendation System for NetEase Dating Site
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/09/paper-personalized-recommendation.html

PAPER: "Personalized recommendation based on overlapping communities using time-weighted association rules"
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/paper-personalized-recommendation-based.html

PAPER Evaluation and Deployment of a People-to-People Recommender in Online Dating
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/paper-evaluation-and-deployment-of.html

PAPER: A Novel C2C E-Commerce Recommender System
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/paper-novel-c2c-e-commerce-recommender.html

and
Some new and fresh PAPERS from The 37th Annual ACM SIGIR 2014 CONFERENCE
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/07/some-new-and-fresh-papers-from-37th.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/07/new-paper-recommender-system.html

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)

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! 
WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven!

The only way to revolutionize the Online Dating Industry is using the 16PF5 normative personality test, available in different languages to assess personality of members, or a proprietary test with exactly the same traits of the 16PF5 and expressing compatibility with eight decimals (needs a quantized pattern comparison method, part of pattern recognition by cross-correlation, to calculate similarity between prospective mates.)
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
It is all about achieving the eighth decimal!
With 8 decimals, you have more precision than any person could achieve by searching on one's own, but the only way to achieve the eighth decimal is using analysis and correlation with quantized patterns.
Without offering the NORMATIVE16PF5 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry All other proposals are NOISE and perform as placebo. 
 

LIFEPROJECT METHOD: 100X better than eHarmony, not 100% better, 100 times better!

http://es.scribd.com/doc/223672375/LPMvEHARMONY-pdf 
  
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.

I agree with the article "Rocket Internet: neither fish nor fowl" at FT.

"Rocket-invested companies have annual revenues of more than Euros750Million; the extent of their annual profits or losses is unknown. Swedish investment group AB Kinnevik, which holds stakes in Rocket and related companies, disclosed annual operating losses totalling Euros280Million at six of Rocket's most mature companies (Lamoda, Dafiti, Namshi, Zalora, Home24 and WestWing). ........
The business model evokes an earlier era. Fifteen years ago, two of the hottest tech companies were incubators that held stakes in start-ups - Idealab and Internet Capital Group. ICG went public and had a market capitalisation of USD60Billion in December 1999, before it came crashing down (today its market capitalisation is USD750Million). Idealab, valued at USD7.9Billion in private fundraising, filed for an IPO in 2000 but later withdrew. Keep the history in mind as Rocket moves from incubator towards conglomerate. "

and today
AB Kinnevik and Rocket Internet to create global fashion e-commerce group: Global Fashion Group ("GFG" valuation of Euros2.7Billion).
http://www.kinnevik.se/en/Media/Press-releases/Kinnevik-and-Rocket-Internet-to-create-global-fashion-e-commerce-group/
Dafiti, Jabong, Lamoda, Namshi and Zalora to be combined into a single group of emerging markets focused fashion e-commerce brands
http://techcrunch.com/2014/09/04/rocket-internet-consolidates-5-emerging-market-fashion-brands-into-one-3-5b-gfg/

Global Fashion Group "GFG"  largest shareholders are:
http://www.gruenderszene.de/allgemein/global-fashion-group-rocket-kinnevik
     Investment AB Kinnevik with 25.1%,
     Rocket Internet AG. with 23.5% and
     Access Industries with 7.4%

My bet: AB Kinnevik plans soon a Global Fashion Group "GFG"  IPO, like Zalando AG.'s IPO, to recover all the money they had invested and get rid of Rocket Internet AG. as its partner.
I suspect no one of those companies are designed to be profitable ever. They have big losses because they sell below cost to gain traction. All cloned companies seem like bubbles.


Please see:
Euros 35 million subsidy for Zalando
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/euros-35-million-subsidy-for-zalando.html
Rocket Internet AG. / All ventures are created using a complex system of shell companies. /
Jade, Juwel, Brillant, Bambino, Platin and others.
See Jade 1076. GmbH. and Jade 1085. GmbH. as sample
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/rocket-internet-ag-all-ventures-are.html
Secret papers: How the Samwer bros. woo investors.
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/02/secret-papers-how-samwer-bros-woo.html
Some analysis and comments about "Frontal21-Doku: Die große Samwer-Show"
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/some-analysis-and-comments-about.html
Rocket Internet AG. Q2 2014 financials via AB Kinnevik
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/07/rocket-internet-ag-q2-2014-financials.html
German Incubator "Epic Companies" GAME OVER?
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/09/german-incubator-epic-companies-game.html
Rocket Internet AG accumulates up to Euros 50 million loss per month ?
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/rocket-internet-ag-accumulates-up-to.html

Singld Out, A DNA-Based Dating Service ....

Can Match You With Dates Who Will Smell Sexy
article at TechCrunch.
http://techcrunch.com/2014/08/28/singld-out-a-dna-based-dating-service-can-match-you-with-dates-who-will-smell-sexy/

but ... that proposal is a HOAX, a big FRAUD in the Online Dating Industry.
Genetic Matchmaking is mainly  based on the T_shirt Experiment that only proved:
normally cycling women (not pregnant and not taking contraceptive pills) are (temporarily) attracted by the perspiration scent of clothes used by men with a Major Histocompatibility Complex MHC more dissimilar to theirs,
and not proved: women attracted by those men for long term mating with commitment.
and
2 Scientific Papers debunk their claims.
1) "Human oestrus" Gangestad & Thornhill (2008)
"Only short-term but not long-term partner preferences tend to vary with the menstrual cycle"

2) "Does the contraceptive pill alter mate choice in humans?" Alvergne & Lummaa (2009)
".. whereas normally cycling women express a preference for MHC (Major Histocompatibility Complex) dissimilarity in mates, pill users prefer odours of MHC-SIMILAR men, indicating that pill use might eliminate adaptive preferences for genetic dissimilarity."
................
"...., Roberts et al. attempted to eliminate these potential confounds by adopting a within-subject design in which women's mate preferences were assessed before and after they began taking the pill. Women starting the pill showed a significant preference shift towards MHC SIMILARITY compared with three months before the pill was taken, a shift that was not observed in the control group of normally cycling women." 
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/07/executive-interview-jana-bayad-ceo-of.html

The key to long-lasting romance is STRICT PERSONALITY SIMILARITY.
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/09/paper-improved-network-based.html

PAPER Improved Network-Based Recommendation Algorithm

http://www.scirp.org/journal/PaperInformation.aspx?paperID=49401#.VAaGwVfaG84

ABSTRACT

Recently, personalized recommender systems have become indispensable in a wide variety of commercial applications due to the vast amount of overloaded information. Network-based recommendation algorithms for user-object link predictions have achieved significant developments. But most previous researches on network-based algorithm tend to ignore users’ explicit ratings for objects or only select users’ higher ratings which lead to the loss of information and even sparser data. With this understanding, we propose an improved network-based recommendation algorithm. In the process of reallocation of user’s recommendation power, this paper originally transfers users’ explicit scores to users’ interest similarity and user’s representativeness. Finally, we validate the proposed approach by performing large-scale random sub-sampling experiments on a widely used data set (Movielens) and compare our method with two other algorithms by two accuracy criteria. Results show that our approach significantly outperforms other algorithms.


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/2014/09/paper-personalized-recommendation.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! 
WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven!

The only way to revolutionize the Online Dating Industry is using the 16PF5 normative personality test, available in different languages to assess personality of members, or a proprietary test with exactly the same traits of the 16PF5 and expressing compatibility with eight decimals (needs a quantized pattern comparison method, part of pattern recognition by cross-correlation, to calculate similarity between prospective mates.)
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
It is all about achieving the eighth decimal!
With 8 decimals, you have more precision than any person could achieve by searching on one's own, but the only way to achieve the eighth decimal is using analysis and correlation with quantized patterns.
Without offering the NORMATIVE16PF5 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry All other proposals are NOISE and perform as placebo. 
 

LIFEPROJECT METHOD: 100X better than eHarmony, not 100% better, 100 times better!

http://es.scribd.com/doc/223672375/LPMvEHARMONY-pdf 

Do you want to innovate in the Online Dating Industry?
Read: The 8 tips to innovate in the Online Dating Industry 2014!  
  
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.

German Incubator "Epic Companies" GAME OVER?

http://www.gruenderszene.de/allgemein/petobel-entlassungen
http://www.deutsche-startups.de/2014/09/01/epic-companies-keine-zukunft/

----------------
German Incubator "Epic Companies" will be game over soon!
http://www.gruenderszene.de/allgemein/mato-peric-erxleben-frenzel-epic-ausscheiden
Perhaps 7 ( unprofitable ? ) companies will dissolve in thin air
http://www.gruenderszene.de/allgemein/epic-companies-petobel

Perhaps German Incubator "Rocket Internet AG." will be in the same road next year.
Please see also:
Some analysis and comments about "Frontal21-Doku: Die große Samwer-Show"
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/some-analysis-and-comments-about.html
Rocket Internet AG. Q2 2014 financials via AB Kinnevik
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/07/rocket-internet-ag-q2-2014-financials.html

PAPER A Personalized Recommendation System for NetEase Dating Site

New paper: "A Personalized Recommendation System for NetEase Dating Site"
www.vldb.org/pvldb/vol7/p1760-netease.pdf

ABSTRACT
With the popularity of internet, more and more people try to find friends or dating partners on online dating web sites.
Recommending appropriate partners from a large amount of candidates becomes an interesting and challenging problem in the field of recommendation system. Various types of recommendation techniques (e.g., content based recommendation, collaborative filtering and association rule mining) have be proposed to tackle this problem. However most of them ignore the personalization concerns that they (1) mainly consider the hot users or frequent items, (2) cover only a portion of users especially ignoring the long tails, (3) and cannot deal with the cold start problem properly. In this paper, we present a regression based hybrid recommendation system that makes use of matching degree, fancy degree, activity, sincerity, popularity and enthusiasm, to recommend appropriate partners. The experimental evaluation of our recommendation system on a real dating web site shows our strategy is more effective and efficient than its previous version which follows the principle of giving higher priority to the recent active users.

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/2014/08/paper-personalized-recommendation-based.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/paper-evaluation-and-deployment-of.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!  

Do you want to innovate in the Online Dating Industry?
Read: The 8 tips to innovate in the Online Dating Industry 2014!  
  
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.

LIFEPROJECT METHOD: 100X better than eHarmony, not 100% better, 100 times better!

http://es.scribd.com/doc/223672375/LPMvEHARMONY-pdf