Dear Sree,
I recently came across following news report , which seems to be
an extension / improvement over , my suggested Pa-Rank :
----------------------------------------------------------------------------------------------------------------------------------------------------
Researchers at MIT have developed a tool called " Immersion " that trawls your Gmail or
Yahoo inbox - " To " and " From
" only - to display its contents as an interactive graphic
It analyzes your Inbox to depict all your contacts as " nodes " along with the connections to
other contacts ( people who have been CC'd in correspondence )
Larger circles mean you have received more emails from that
person
Click on any node , and " Immersion
" shows you the number of mails you have exchanged , the date of the first
, as well as the last email you have received
An overall analysis of your inbox reveals the number of emails
it includes, and the names of the top collaborators
It will display the total number of emails sent and received
from the day you signed up for the account. And you can even look at this data
for the past year , month or week
Finally , when you're done , you can log out and delete this
meta data from MIT's servers .
Ah , yes , don't worry , the service does not read through the
contents of your emails
----------------------------------------------------------------------------------------------------------------------------------
Also take a look at......... https://immersion.media.mit.edu/
As mentioned in my earlier email , our " RESUME
BLASTER " mobile App , does pick-up ALL
contact details from the mobile of the person using it !
And stores this in a Data Base
We have just not spent any time to analyze this data-base
regards,
hemen
PS
I hope , by now , you are ready to freeze
those dates of the visit of your Tech Team to my office
From: Hemen Parekh
[mailto:hcp@recruitguru.com]
Sent: Thursday, October 09, 2014 6:44 AM
To: 'Tsreedhar'
Cc: Nirmit Parekh
Subject: FW: A Brave New World
Sent: Thursday, October 09, 2014 6:44 AM
To: 'Tsreedhar'
Cc: Nirmit Parekh
Subject: FW: A Brave New World
Dear Sree
I mentioned this when we met in our office last month
I could not find this email on our server but Shuklendu found it
on his laptop
You may want to look up web site of Relationship Science
I am sure , in last 18 months , they must have improved upon
their original offering
Pa-Rank is NOT rocket science ! A
small part is already built into Resume Rater
And , RESUME BLASTER will be soon revived
regards ,
hemen
From: Shuklendu Baji
[mailto:shuklendu.baji@sentientsystems.net]
Sent: Wednesday, October 08, 2014 12:09 PM
To: 'Hemen Parekh'
Cc: 'Kailas Patil'
Subject: FW: A Brave New World
Sent: Wednesday, October 08, 2014 12:09 PM
To: 'Hemen Parekh'
Cc: 'Kailas Patil'
Subject: FW: A Brave New World
From: Hemen Parekh
[mailto:hcp@recruitguru.com]
Sent: Monday, February 18, 2013 8:28 AM
To: 'deshmukh.rahul@iitb.ac.in'; shuklendu.baji@sentientsystems.net; Matad, Nagabhushana Ayyanahalli (HP Labs India); Manjunath, Geetha (HP Labs India)
Cc: Nirmit Parekh
Subject: FW: A Brave New World
Sent: Monday, February 18, 2013 8:28 AM
To: 'deshmukh.rahul@iitb.ac.in'; shuklendu.baji@sentientsystems.net; Matad, Nagabhushana Ayyanahalli (HP Labs India); Manjunath, Geetha (HP Labs India)
Cc: Nirmit Parekh
Subject: FW: A Brave New World
Dear Team
Google calls it PageRank – to decide the importance of a web
page – then use this number to decide the rank ( position ) of that page within
the search results
Let us follow Google ( very safe ! )
And call our “ Ranking Mechanism
“ of any given resume , a “ Pa-Rank “
Then arrange all arriving resumes ( in the mailbox of a
Recruiter or on our web site ), in the descending order of their Pa-Rank
Highest ranked at the top
So , the Recruiter need to open/read only the top 5 / 7
In much the same manner that 95% of the searchers never go
beyond the first 3 pages of any search-result despite millions of pages
Just imagine how much time it will save the recruiters to
zero-in on the best candidates from amongst hundreds applying for any given job
This has the potential to revolutionize the On-line recruitment
industry !
How can we determine a candidate’s Pa-Rank ?
Just like PageRank , which takes into account,
Ø No of Incoming links to a given page
Ø Importance of each incoming link ( based on its own incoming
links )
No doubt , Google’s actual algorithm must be very complex – and
continues to evolve
Thru Resume Blaster ( and someday , thru My Jobs as well ), we
pick-up the “ Contact List “ ( of mobile nos ) of say, Ajay ( a
user registered on our site )
These are his “ Primary Incoming
Links “ – say , 40
Out of these 40 , say , 10 have also registered on our site AND
, are using Resume Blaster
In turn , these 10 have , between them , 600 contacts ( “ Secondary
Incoming Links “ )
So , for Ajay , total Incoming links = 40+600 = 640
Now , if Ajay thinks he has figured out how our software
computes Pa-Rank then he will somehow find out the mobile number of Mukesh Ambani
, and add into his “ Contacts “ – assuming that at one stroke ,he can add ONE
MILLION incoming links to himself !
But , we know that such high-flying executives are unlikely to
have registered on our site – much less , to be using Resume Blaster !
Hence we treat this as a “ Dead Incoming Link “
On top of that , we can further refine our Pa-Rank based on,
Ø The frequency with which
Ajay keeps calling each of those 10 persons ( who have registered on our site
AND are also using Resume Blaster )
Ø The duration of each call
( or even text message ? )
We can multiply / sum-up / find average etc of such “ exchanges
of messages – both ways “ and arrive at some “ FACTOR “
Then multiply the Total No of Live Incoming Links with this
factor , to compute PaRank
Looks crude , no doubt !
But Google has proved that it works !
What PageRank is for all the web pages in the
World , someday , PaRank will be to all the resumes ( which too , like any web
page , are documents ) , in India
We must do it !
On internet , “ Ideas are dime-a-dozen “
But elegant executions are rare !
Regards
hemen
From: Hemen Parekh
Sent: Saturday, February 16, 2013 5:36 AM
To: 'deshmukh.rahul@iitb.ac.in'; Manjunath, Geetha (HP Labs India); shuklendu.baji@sentientsystems.net
Subject: A Brave New World
Sent: Saturday, February 16, 2013 5:36 AM
To: 'deshmukh.rahul@iitb.ac.in'; Manjunath, Geetha (HP Labs India); shuklendu.baji@sentientsystems.net
Subject: A Brave New World
Dear
Team
Take
a look at the following news report
That
made me search in Google – and in all cases, found topmost entry at Wikipedia (
crowd sourcing , at its best ? ), the following :
Ø The Brave New World
Ø Karmarkar’s
Algorithm
Ø Travelling Salesman
Problem
Ø Swarm Intelligence
Ø Neural
Network……….etc
In
the article below , the company ( Relationship Science ),
Ø Does not depend
upon “ user-generated content “,
…….but
Ø Scrapes
the web
for building its database
In
either case , as Scott McNally ( Sun Micro ) famously said,
“
In internet age, privacy is dead. Period “
In
our next app ( Resume Blaster ), Shuklendu has incorporated a Cookie which will
pick-up the entire “ Contact Data “ from
the smart phone of each user
Hopefully
, someday in a later , non-commercial version of “ My Jobs “ , Prof Rahul
Deshmukh will incorporate a similar cookie
And
I suppose , in still later versions of both , we will succeed in picking-up the
entire smart phone logs of voice-mails and text
messages
I
have absolutely no doubt that many apps are already doing this – so , if we
ever get around to doing it , we will be merely “ re-inventing
the wheel “ !
That
will leave someone to write an algorithm that determines which “ Neural Connections “ are Strong / Average / Weak ,
based on the frequency and duration of the
messages exchanged between them
Then
, we would have beaten Goldman and his company, Relationship Science !
I
may not be around to see this but I hope the idea survives
Regards
Hemen
Source : Economic Times / Feb 13 , 2013 ( NYT News Service )
Andrew Ross Sorkin
A
New Database of Names could Change Wall Street
It
sounds like a Rolodex for the 1%: 2 million dealmakers, power brokers and
business executives – not only their names , but in many cases the names of
their spouses and children and associates , their political donations , their
charity work and more – all at a banker’s fingertips.
Such
is the promise of a new company called Relationship
Science. Never heard of it ? Until recently , neither had I. But a few
months ago, whispers began that this young company was assembling a vast trove
of information about big names in Corporate America. What really piqued my
interest was that bankrolling this startup were some Wall Street heavyweights,
including Henry R Kravis, Ronald O Perelman , Kenneth G Langone, Joseph R
Perella, Stanley F Druckenmiller and Andrew Tisch.
It
turns out that over the last two years, with a staff of more than 800 people, mostly in India, Relationship Science has been
quietly building what it hopes will be the ultimate Who’s Who. If it succeeds,
it could radically change the way Wall Street does business.
That
is a big if , of course. There are plenty of other databases out there. And ,
there is always Google. Normally I wouldn’t write about a technology company,
but I kept hearing chatter about it from people on Wall Street. Then I got a
glimpse of this new system. Forget Six Degrees of Kevin Bacon. This is Six Degrees of Henry Kravis.
Here’s
how it works:
Let’s
say a banker wants to get in touch with Kravis, the private equity dealmaker,
but doesn’t know him personally.
The banker can type Kravis’s name into a Relationship Science’s
search bar , and the system will scan personal contacts for people the banker
knows who also know Kravis, or perhaps secondary or tertiary connections.
The system shows how the searcher is connected – perhaps a
friend , or a friend of a friend, is on a charitable board – and also grades
the quality of those connection by identifying them as “ strong “, “ average “
or “ weak “.
The
major innovation is that, unlike Facebook or LinkedIn, it
doesn’t matter if people have signed up for the service. Many business
leaders aren’t on Facebook or LinkedIn , but Relationship
Science doesn’t rely on user-generated content. It just scrapes the Web.
Relationship
Science is the brainchild of Neal Goldman, a co-founder of CapitalIQ, a
financial database service that is used by many Wall Street firms. Goldman sold
CapitalIQ, which has 4200 clients worldwide, to McGraw Hill in 2004 for more
than $ 200 million. That may explain why he was able to easily round up $ 60
million in funds for Relationship Science from many boldface names in finance.
He raised the first $ 3 million in three days.
“
I knew there had to be a better way,” Goldman said about the way people search
out the others. Most people use Google to learn
about people and ask friends and colleagues if they or someone they know can
provide an introduction. Relationship Science essentially does this
automatically. It will even show you every connection you have to a specific
company or organization.
“
We live in a service economy,” Goldman said. “ Building
relationship is the most important part for selling and growing.”
Kenneth
Langone, a financier and co-founder of Home Depot, said that when he saw a
demonstration of the system he nearly fell off his chair. He used an
unprintable four-letter word.
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