Thursday, November 27, 2014

PAPER Measuring similarity between user profile and library book

PAPER Measuring similarity between user profile and library book.

In the development of recommender system either the content or collaborative filtering is necessary. To filter the records it is required to measure the similarity between profile of user and items present in the dataset. This experiment is performed on the dataset containing 978 books related to computer science field and 7 users. Similarity between profile of user and contents of book is measured using Euclidean, Manhattan, Minkowski, Cosine distances. The results are evaluated and compared. This work is useful in the development of library recommender system.
--------------------------------------
 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/2014/11/paper-investigation-and-application-of.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/03/new-papers-recommender-systems.html

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 but there are different formulas to calculate similarity. 
Similarity is a word that has different meanings for different persons or companies, it exactly depends on how mathematically is defined. In case you had not noticed, recommender systems are morphing to .......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates until now because they mostly use the BIG 5 to assess personality and the Pearson correlation coefficient to calculate similarity.
The BIG 5 (Big Five) normative personality test is obsolete. The HEXACO (a.k.a. Big Six) is another oversimplification. Online Dating sites have very big databases, in the range of 20,000,000 (twenty million) profiles, so the BIG 5 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. I calculate similarity in personality patterns with (a proprietary) pattern recognition by correlation method. It takes into account the score and the trend to score of any pattern. Also it takes into account women under hormonal treatment because several studies showed 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".

If you want to be first in the "personalization arena" == Personality Based Recommender Systems, you should understand the ............ Online Dating Industry first of all!

Please see: "How to calculate personality similarity between users"
Short answer: the key is the ENSEMBLE!
(the whole set of different valid possibilities)
http://onlinedatingsoundbarrier.blogspot.com.ar/2013/03/how-to-calculate-personality-similarity.html

Worldwide there are over 5,000 online dating sites, no one uses the 16PF5, no one is scientifically proven yet, and no one can show you compatibility distribution curves, i.e. if you are a man seeking women, to show how compatible you are with a 20,000,000 women database, and to select a bunch of 100 women from 20,000,000 women database.
 
Please read also
An exercise of similarity.
How LIFEPROJECT METHOD calculates similarity. 
STRICT PERSONALITY SIMILARITY by LIFEPROJECT METHOD.
Personality Distribution Curves using the NORMATIVE 16PF5.
ALGORITHMS & POWER CALCULATION.
Innovations: to take the 16PF5 test 3 times.
Why your brain distorts!

Wednesday, November 26, 2014

Uber raising funding at a USD40 billion valuation?

Astonished.
http://vator.tv/news/2014-11-26-uber-raising-funding-at-a-40-billion-valuation
"Earlier this month, it was reported that Uber would be raising another USD1 billion in funding at a possible USD25 billion valuation. After the scandalous week that the company just had, though, some may have questioned how investors would react. After VP Emil Michael suggested that the company should devote USD1 million to dig up dirt on the personal lives and families of journalists who say mean things about the company, would they balk at putting their money in?
Nope. Not at all. In fact, they are going full steam ahead."

Uber raised USD 1 Billion? Crazy
http://vator.tv/news/2014-11-08-uber-is-reportedly-raising-yet-another-1-billion

Perhaps Uber will end like Aereo or Fab!
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/aereo-by-iac-iaci-game-over-now-tinder.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/how-fab-went-from-usd1-billion.html

Please read also: Not every company that raises USD1 billion will be the next Facebook   http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/not-every-company-that-raises-usd1.html



Monday, November 24, 2014

Bumble, new social dating application (backed by Badoo to destroy Tinder?)


http://techcrunch.com/2014/11/23/whitney-wolfe-other-former-tinder-employees-to-launch-direct-competitor-called-bumble/

http://mashable.com/2014/11/24/former-tinder-execs-bumble/


New saga, new puppets (former Tinder execs) ???
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/the-long-case-for-iacinteractivecorp-by.html

The mission of Tinder was to destroy Badoo, Zoosk, HowAboutWe, Spark Networks' sites, Snap Interactive's sites and others similar to them (social dating, social discovery) but ...... it is said Badoo backed Bumble to destroy Tinder. 

Will investigate further.

How Fab went from a USD1 billion valuation to a USD15 million fire sale

http://qz.com/300825/how-fab-com-went-from-a-1-billion-valuation-to-a-15-million-fire-sale/

http://techcrunch.com/2014/11/20/pch-international-in-talks-to-buy-fab-for-15-million/

Please read also:
Not every company that raises USD1 billion will be the next Facebook  
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/not-every-company-that-raises-usd1.html
Fab game over soon? death spiral? 
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/fab-game-over-soon-death-spiral.html

Sunday, November 23, 2014

The Long Case For IAC/InterActiveCorp by Berkeley Investment Group

full article at Seeking Alpha
http://seekingalpha.com/article/2705065-the-long-case-for-iac-interactivecorp 

 


For the Match Group: Please see this information from Alexa and Compete, they show their sites reached operating ceiling!
http://www.alexa.com/siteinfo/match.com
https://siteanalytics.compete.com/match.com/
http://www.alexa.com/siteinfo/chemistry.com
https://siteanalytics.compete.com/chemistry.com/
http://www.alexa.com/siteinfo/meetic.fr
http://www.alexa.com/siteinfo/meeticaffinity.fr
https://siteanalytics.compete.com/okcupid.com/
http://www.alexa.com/siteinfo/friendscout24.de


 For Tinder:
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/tinder-tried-to-be-next-facebook-forbes.html
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/crazy-article-about-tinder-iac-spinoff.html

Tinder is destroying Match from inside.
The mission of Tinder was to destroy Badoo, Zoosk, HowAboutWe, Spark Networks' sites, Snap Interactive's sites and others similar to them (social dating, social discovery)
Tinder failed in that mission and now is destroying Match (cannibalizing it)

My bet: IAC will put Tinder to sleep soon or later. Facebook allows minors to use it (people from 13 to 17 years old)
Online Dating is NOT for minors.
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/08/how-tinder-will-collapse.html
The IAC is not going to conduct Identity Verification to screen all Tinder's members.
It seems Tinder is like Chatroulette but it will collapse like Skout.
http://mashable.com/2012/06/13/skout-rape/

Over 620 online dating startups at Angel List

In a previous post I had written about the plague of online dating startups.
 http://onlinedatingsoundbarrier.blogspot.com.ar/2013/05/a-new-plague-online-dating-startups.html
There are over 624  online dating startups at Angel List.
18 months ago there were only 290.
https://angel.co/online-dating


 Please remember:
"online dating" is a broad concept to define a large group of different proposals. http://onlinedatingsoundbarrier.blogspot.com.ar/2014/10/article-does-online-dating-work-lets-be.html
 The Worldwide Online Dating Market 2014 / Spanish version / (full).
(all link to pages in English)

  http://onlinedatingsoundbarrier.blogspot.com.ar/2013/12/the-worldwide-online-dating-market-2014.html  Online Dating Market full version 2013
  http://onlinedatingsoundbarrier.blogspot.com.ar/2012/11/online-dating-market-full-version-2013.html 
http://onlinedatingsoundbarrier.blogspot.com.ar/2012/11/online-dating-market-full-version-2013_6.html
 http://onlinedatingsoundbarrier.blogspot.com.ar/2012/11/online-dating-market-full-version-2013_7.html  The key to long-lasting romance is STRICT PERSONALITY SIMILARITY and not "meet other people with similar interests".

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!

No actual online dating site  is "scientifically proven" because no one can prove its matching algorithm can match prospective partners who will have more stable and satisfying relationships -and very low divorce rates- than couples matched by chance, astrological destiny, personal preferences, searching on one's own, or other technique as the control group in a peer reviewed Scientific Paper for the majority (over 90%) of its members.
 

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. 



Please read "LIFEPROJECT METHOD versus eHARMONY"
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/05/lifeproject-method-versus-eharmony.html 
 

PAPER Investigation and application of Personalizing Recommender Systems ....

www.ijana.in/papers/V6I2-2.pdf
 Investigation and application of Personalizing Recommender Systems based on ALIDATA DISCOVERY 

abstract:
To aid in the decision-making process, recommender systems use the available data on the items themselves.
Personalized recommender systems subsequently use this input data, and convert it to an output in the form of ordered lists or scores of items in which a user might be interested. These lists or scores are the final result the user will be presented with, and their goal is to assist the user in the decision-making process. The application of recommender systems outlined was just a small introduction to the possibilities of the extension. Recommender systems became essential in an information- and decision-overloaded world. They changed the way users make decisions, and helped their creators to increase revenue at the same time. 


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/2014/10/proceedings-of-8th-acm-conference-on.html

Please read:
Twitter teams with IBM for business analytics
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/10/twitter-teams-with-ibm-for-business.html
 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.
http://onlinedatingsoundbarrier.blogspot.com.ar/2014/11/paper-recland-recommender-system-for.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!