Thursday, November 26, 2015

SA article "A Closer Look At The Match Group IPO"

Match Group has a big debt because they had overpaid for PlentyOfFish.

Prospective Investors: What to Keep an Eye On.
Now in a big storm inside Tinder - Match war and Tinder - Bumble war

Nasty Tinder surprise for tech boss after his tall tales from the Dublin Web Summit

A Book about Tinder - Bumble war. Bumble by Badoo (Russian Mafia of hackers & spies)

Unicorns are starting to fade (Vator article)

Silicon Valley’s boom? Silicon Valley’s bubble instead!
There is a large dotcom bubble fueled by venture investment funds, investors who are dragging other investors to continue investing until they can sell shares of the company and recover leveraged money, but the last holder of shares is going to lose

Vator article: The balloon deflates as investor devalues Snapchat by 25%

Wednesday, November 25, 2015

People-to-People Reciprocal Recommenders

Chapter of Recommender Systems Handbook pp 545-567


People-to-people reciprocal recommenders are an emerging class of recommender systems. They differ from traditional items-to-people recommenders as they must satisfy the preferences and needs of the two parties involved in the recommendation. In contrast, traditional items-to-people recommenders are one-sided and must satisfy only the preference of the person for whom the recommendation is generated. We review the characteristics and present an overview of existing reciprocal recommenders. To illustrate the various aspects of these recommenders and how reciprocity can be taken into account in building and evaluating such recommenders, we present a case study in online dating. We describe our reciprocal recommender algorithm that combines content-based and collaborative filtering and uses data from both user profiles and user interactions. We also study the differences between the implicit and explicit user preferences and show that implicit preferences, learned from user interactions, are better predictors of successful interactions. We conclude by outlining some future research directions.

PAPER A Deployed People-to-People Recommender System in Online Dating

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. Oh that is exactly ............ guess ............. yes ........ LIFEPROJECT METHOD, ready since 2001!
All other proposals are NOISE and perform as placebo.
Please read: The 8 tips to innovate in the Online Dating Industry!

PAPER "Homogeneity of personal values and personality traits in Facebook social networks"

PAPER Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality
ACM RecSys CrowdRec 2015 Workshop

Tuesday, November 24, 2015

A Book about Tinder - Bumble war. Bumble by Badoo (Russian Mafia of hackers & spies)

Alexa Dell, Sean Rad’s ex-girlfriend and heiress to the Dell computer fortune. When she reached Dell, Wolfe learned “a book was being shopped around” about her legal battle with Tinder and personal life, and that she should expect a “takedown story” coming soon from Terrill. She didn’t know when it was happening, or where it would be published—only that she was once again a target.

It’s this audio recording that Terrill says is proof that Whitney Wolfe is not who she says she is—neither a victim nor a co-founder, but a fraud who parlayed a sex lawsuit into a career boost and fame.

Bumble was backed by Badoo to destroy Tinder.

Russian billionaire backer of Bumble who is also in the spyware business.

Sunday, November 22, 2015

Legal Letter Match Group had sent to PlentyOfFish (POF) last

April 2010 about bogus claims, but 5 years later, many of those claims are still present at PlentyOfFish (POF) although the Match Group had acquired POF.

PlentyOfFish (POF) claims "50,000 New Singles Per Day!" but
PlentyOfFish 2015 revenue revealed by Match Group.

Match Group has a big debt because they had overpaid for PlentyOfFish.