Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Translate

Saturday, 31 December 2005

BULK SMS SERVICE

Handwritten Text:

31-12-05

Abhi

Sending SMS from PC

Blogs at

http://www.nowsms.com/framer.htm? http:// www.nowsms.com/disms/messages/12/12-html.

One technical reply is by Sanjeer

Sanjeerreddyallala@yahoo.com.

www.globalbizsms.com nowsms.com https://www.google.com/search?q=telecoomtsader.com

 

Printed Newspaper Clipping (Article):

SATURDAY 31 DECEMBER 2005

December brings along with it cold chills aplenty, but the party season that starts in right earnest, brings a lot of social messages! Besides the usual mes- sages wishing one for the festival season, there are party invites, jams starting around Christmas time. However, here's the twist in the tail. Instead of your friend or the spouse in your Inbox good for the message, you're likely to find your Mom or, of course, those whom you would never re- ceive! Neither are their

WHEN SMS BECOMES BMS (Bulk Messaging Service)

numbers saved on your phone memory; these are just some of the night clubs, hotels, spas, banks, that send messages for a club or pub to spread word on an upcoming party, sales or a deal with cus- tomers.

Such is the buzz with bulk messaging. Most of the night clubs, hotels, banks, mes- saging providers send out nearly 50,00,000 such messages to customers, informing them of a party, discount, sale with the calling.

While the first ever SMS service was mean, the idea here is to provide informa- tion and not necessarily to sell. It's a key to boost business for many non-IT based cellular services and wireless system, you can't live without the SMS and the mes- sages.

The recipients for these kinds of mes-

Fooded by SMS party invites this New Year's? Well, you're not the only one, finds Priyanka Deladia

sages include nightclubs, restaurants, banks, financial services that send ex- clusive deals for customers, besides web portals etc.

The raging popularity of using the SMS service is at- tributed to the fact that SMS marketing has received con- sent and was to reach many non-IT based, personal, a few executives, whose jobs involve marketing and promotion, and have used this service, 'if you were to miss it, the company would take forever. It is so

much more convenient to give charge to someone and let them do the trick.'

The number of people is big, says client. 'They have to log on to out websites, type in their requirements and finally, send it across to the customer at a very fast pace. At our end, we have the capacity to send out the SMS messages very quickly; so it's as good as to whom and when and where to send it at a very fast pace.'

Since the SMS service has proved to be the fastest and most efficient medi- um, it is going strong as it is faster than the very second of the phone going beep, customers respond to the SMS for a party, a discount and it serves the purpose. Even again, technology is after all a double- edged sword.

 

Priyanka Deladia


HARNESSING GOOGLE

 (Date: 31-12-05)

Abhi

very useful info at

 [suspicious link removed]_SEARCH_WEBMASTER_REF_ - RestrictAccessToSite.htm

http://www.mygooglepagerank.com/pagerank.php.

URL

Google Page Rank

https://www.google.com/search?q=World-Wide-Jobs.com

2

GlobalRecruiter.net

0

IndiaRecruiter.net

0

GoogleJobs.in (Some "Warning" too !)

0

Bulk SMS www.telecomstrader.com

www.nowsuso.com

adityagoel aditya.goel@cellent.com

(I have their business card).

Abhi

Google SiteMaps

These are FREE.

These are meant to.

Improve better indexing by Google Spider

Increase our Site Visibility

Increase traffic to our site

These can be created very quickly.

Let us do for all of our websites.

you will find detailed instructions at,

www.google.com/webmasters/Sitemaps/login.

Can we also benefit by adding our WWJ-GR-IR sites to "Google Mobile Index"?1

(read last of FAQ at2

google.co.in/mobile/faq.html#using33

google.co.in/mobile/faq.html#services54

google.co.in/mobile/partner.html.5

http://desktop.google.com/developer.html7.

FAQ = Why provide an API for Google Desktop?

Ans: "Finally our API lets developers embed Google Desktop Search into their own applications, bringing fast and convenient search to their users".8910

The Google desktop SDK provides documentation and sample code for using the Google Desktop APIs (via COM and HTTP/XML).111213

You may also wish to look at141516

"Site-flavored Google Search (Beta)" at,171819

ww20w.google.com/services/siteflavored.html2122

(Date: 2326-12-05)24

Abhi25

Harnessing Google26

Quite sometime27 back, I had sent a note, which contained following idea:-28

When a HR manager is interviewing a candidate, often, he runs out of topics/subjects on which to ask questions to that candidate! (Very common occurrence).29

Then again, those questions have to be on related subjects/topics - related to wh30at the candidate claims to be his area of Knowledge - skills - expertise.

Now suppose, we develop a clever software tool, whereby, when a HR mgr. moves the cursor (mouse-over?) on any particular word in the resume (Online, of course), a box pops-up, containing a SET of related words. With the help of these words, he can now probe the candidate deeper.

In V.2 of this tool, instead of mere "words", we can have even full "questions" pop-up!

To create a SET of RELATED words, for thousands of words contained in resumes, was a project beyond our resources-even beyond resources of a Very-large company. So, we did not pursue this excellent idea-an idea, which, at one stroke, would set us apart (differentiate) from the likes of Monster/Naukri etc.313233

But, now, there co34uld be a solution!3536

On Google, look at "Google Sets".3738

It does exactly what we want! Give it one word, and it display39s 5/10/20 "related" words (-sometime unrelated too).40

I believe Google manages to come up41 with this SET of related words, based on billions of "Search-Queries" it must have accumulated in its Data Warehouse, till today. I, obviously, would not know the algorithm used by Google but one thing is certain.42

Google could not have asked 10,000 engineers to sit down and wr43ite down 100 related words for 100 million words.44

Google believes in harvesting the knowledge of its millions of daily visitors, conducting billions of searches everyday.45

Like Rheingold ("Smart Mobs"), Google believes in harnessing the power of millions of its visitors - to somehow come47-up with a "CONSENSUS" answer, which is, statistically "correct". (Like "Audience Poll" of Kaun Banega Crorepati). Again & again, it is proved that the majority is right in a Audience Poll.

In the past, you (Vikram) constructed "Harvester" where Google is working in the background - quietly and without anyone knowing. (One day we must have an "Online" version of Harvester on Global Recruiter - for employers to headhunt Executive Names and then forward the list to their favourite Headhunter - for an offline "search mandate").4849

In much the same way, we should "mash" "Google Sets" into our Global Recruiter, for following purposes:5051

To find & pop-up "related words, when a HR mgr. m52oves cursor (or clicks) on any word in the ONLINE resume.53

In itself this feature will attract Corpor54ate HR mgrs to patronise our partner websites.

To use "Google Sets" to automatically re-compute (at predetermined intervals-and may be offline), the probabilities of occurrence of Keywords, belonging to each of our 29 functions.

In the enclosed flow diagram, I have shown how this can be done.

You will recall that, originally, when we wanted to plot "Function Profile Graphs, you-Inder Kariyappa had to manually select some 30/50 keywords for each "function" - then plug-in their probabilities, into the software.

I believe, we had also devised a mechanism whereby these "probabilities" can get re-computed/updated, at set intervals, based on addition/arrival of new resumes, during the interval.

But since we shut down RecrutGuru, we did not get a chance to activate this AUTO-UPDATE mechanism.

Although, we have no intention to immediately (in near future), add the Function Profile Graphs in Global Recruiter, the idea of AUTO-UPDATE of probabilities has merits.

One such "merit" is described in step #6 on enclosed chart, viz:

Knowledge Profile

Related Words

.Net

Backup

ASP

Database

ASP.Net

Migration

C++

Modules

Coding

ISO 9000

Component

Shell

CRM

SMTP

Taken from Rajeev's profile on WWJ.81

 

NOW, if these words were to be entered into Google Sets, we may come-up with 500 other -related-words.

Out of these, those which are most frequently occurring, (Highest probabilities), can be shown in the adjoining box.8283

Now, after looking at the POP-UP box if the candidate finds that there are a few which are relevant to his Knowledge Profile, he would simply "Copy Paste" and everytime this happens, we are continuously refining the "Knowledge-Base", aut84omatic85ally too!

What I have described in enclosed FLOW-CHART, applies to "Future Arrivals" of resumes thru GR-IR, where, a candidate has himself Identified his belonging to FUNCTION X/Y/Z.

Hence, resumes are automatically getting sorted by FUNCTIONS. So, preparing function-wise "SUBSETS" (for indexing/processing) is easy.

But, on the other hand, we have accumulated 5/6 lakh text resumes in our database, over the last 15 years.

Out of these, you are trying to upload on GR/IR, 1,18,000 (approx), which, at one time, you had extracted using Gumtree.

(-hence, presumably, we know their "Func").

That still leaves out a large no.

Even though, we may-not be able to upload these balance 4/5 lakhs, we could still use these, to our benefit, as follows:

Using Google Desktop, let us index these 4/5 lakhs. Then remove Garbage words. You may still be left with

 (Date: 26/12/05)

STEP #1 (Flowchart)

[Image of a flowchart. Nodes are interconnected circles and rectangles with numbers. The flow involves India Recruiter, Partner Website (A), Partner Website (B) feeding Global Recruiter Central Database. Subsets are drawn from this database by function/time: $Subset \to \text{Sales leads to box 4521; $Subset \to \text{Mktg leads to box 2964; $Subset \to \text{R\&D leads to box 9863.

The 4521 box feeds into Local Server Google Desktop. This server contains:

  • Index of 'Sales' Keywords $\to$ box 46839
  • Index of 'Mktg' Keywords $\to$ box 94322
  • Index of 'R&D' Keywords $\to$ box 69855

The input flow from the central database to the local server is labeled: $Function = \text{Sales ($Time = \text{Recent), $Function = \text{Mktg ($Time = \text{Recent), $Function = \text{R\&D ($Time = \text{Recent).]

STEP #2

Take 46839 "Sales" keywords

STEP #3

Insert each keyword into "Google Sets" & find "Other items" in the set. Repeat for each keyword

STEP #4

  • For 46839 keywords we
    1. will find a download
    2. 46839} \times \text{"(Sets" words/keyword} \to \text{X
  • Create "Probability of occurrence" for each word in this population.
  • Arrange in descending order of probability. Take TOP few words, whose probability $\le 0.90$

STEP #5

Upload on GR these TOP FEW under each FUNCTION

(Separate set for each FUNC).

STEP #6

  • In the text part of the resume, "Google Sets" Working silently in the background (without being visible to the HR mgr), immediately predicts other "related words", and displays in a box, alongside.
  • e.g. $\to \text{"Sales"
  • Similar to

WWW.VISITTHESAUNIS.COM

  • e.g. $\to \text{"Sales"
    • Sales
    • Mktg
    • Customer Service
    • Tech. Support
    • Bagan V
    • Product Sales
    • Webmaster
    • Support
    • Human Res

 













Thursday, 29 December 2005

DAILY DESHDOOT

H C Parekh

From: H C Parekh [hcp@recruitguru.com] Sent: Thursday, December 29, 2005 3:26 PM To: 'deshdootho@yahoo.co.in' Cc: 'abhinandan@recruitguru.com' Subject: JAS Job Advt Summary

Mr. Abhijeet Chande Daily Deshdooth Nasik

Dear Mr. Chande,

JAS Job Advt Summary

I hope you are getting this regularly and to your satisfaction. If you have any specific requirements, please do phone me on ( M ) 98 6758 0806.

I would request you to spend 5 minutes to click and look-up

Why World-Wide-Jobs?

Some of the points mentioned here are of immense benefit to your readers and you may wish to highlight these while printing JAS. These benefits, if incorporated in your template would prompt jobseekers to buy and read your paper, in every-increasing number.

Once-in-a-while you may also want to print the Job Market Analytics ( PIE -Charts ) appearing at

Where are the Jobs?

In the meantime, could you please send me through courier, a latest copy of JAS Tabulation, as printed in your newspaper?

It would be nice, if you could place me on your mailing list, so that I may get your paper-copy on a regular basis

With regards,

H.C.Parekh Recruitguru

hcp@recruitguru.com

12/29/05

 



Tuesday, 27 December 2005

UPLOADING PRINT MEDIA JOB ADVTS

(Dated 27-11-05)

Abhi

Naukri.com's

"Jobs In Print" Service

Deccan Herald — 117 (26 Oct to 25 Nov) (email ID avl.)

Indian Express — NO display

It is quite possible that thousands of jobs getting published in print-media (Newspapers), never get uploaded on job-sites. (Except Times of India $\rightarrow$ Timesjobs).

And very few copies of leading METRO newspapers manage to reach medium/small towns. And those copies that do find their way to small towns, reach homes of people who are NOT looking for jobs!

This means, these jobs remain "inaccessible" to small-town jobseekers!

This is what makes such (print-media) jobs, a "SCARCE CONTENT"

("Killer Content" by Mai Lan Tomsen).

According to author Mai Lan, it is

Such "scarce content" that differentiate successful from unsuccessful websites.

If your website offers a CONTENT that no other website offers, people will visit your site by thousands.

Apparently Naukri has realized this. But they seem to have tied up (so far), only with

  • Deccan Herald
  • Indian Express

Could it be that other major newspapers, publish/upload their print media job-adverts on their OWN sites? I don't know. But it can take oneday to find out! May be I will do it.

But, keep in mind that someday soon, we should create on IndiaRecruiter a page/form, called

"Job Post for Newspapers"

Where they can enter/upload jobs printed in their hardcopies. This feature/offer may even attract them to subscribe/register for JAS.

 (Dated 13-11-05)

(ABHI)

"Paraphrasing Software"

Links found in Google

  • www.unstruct.org/index.php?p=186
  • https://www.google.com/search?q=dtrnmag.com
  • www.emergic.org/archives/indi/007710.php
  • www.plan-x.org/projects/plagiarism/report.pdf

(We need to reverse the process listed here)

[URGENT]

(Abhi)

Pl. download—then try on any sample "resume" and see whether it is capable of generating a "NEW" version of same resume.

If it does, then we have hit a jackpot!

If it does, we will immediately pay-up $ 29.95 to upgrade to PREMIUM edition.

This can be a fantastic tool (if it works), in helping candidates WRITE (really REWRITE) their existing resumes!

(Newspaper Clipping)

Cut & Paste | Fraudulent students are pinching research papers from the net. There is even a paraphrasing software that edits a stolen paper to make it look different. Piali Banerjee reports

WORLD WIDE THESIS

A student term paper that was originally about the post-graduate student's paper on nanotubes was word perfect, except the thoughts were too good to be true. A few minutes and a Google search later, the truth emerged: the entire paper had been downloaded from a website. ... A part of a typical day in the age of teachers in the Information Age, when students have access to a few billion pages on the internet. Today, professors of university physics departments across Mumbai cite plagiarism as a growing problem as far as evaluating adoption. A professor of IIT Powai even estimates that "near-about 50 percent" plagiarised material directly from the internet for term papers/projects.

Julie Ryan of George Washington University cites a particularly potent personal experience of catching a student who plagiarized an entire term paper from the Internet. Finding the paper too sophisticated for the student, Ryan had done an AltaVista search hunting for similar language. It took only five minutes to find that the entire paper was taken word for word an online journal article by Ross Arson, a distinguished Californian university professor.

... It isn't only essays, even in a competitive environment like programming, cut-and-paste plagiarism is rampant. A final year project submitted by a computer science student in a Mumbai college recently had an exact match in a paper on the IIT Powai website. ... "Whenever I ask students to cite their views, they download reports from the internet," says Michelle Philip, head of department, English, at SIES college. ... "The biggest trap of all that professors have access to is the internet. Nowadays, before teaching a course, I access all related websites and information that students have about this for the reference. This makes it difficult for them to plagiarise."

Philip contacted a creative writing programme at Watson College, where, she says, "creativity is truly about hiding one's sources, because the once plays submitted as "original work" is now a stick to be written by students," she says. "We had to pay the author for a head of plagiarism." This year I asked the students to create one-act plays using scientific words," says Philip. "So they had to do original work."

Professors agree that the university's regulations and honor agreements that aren't generally available in the majority of our folks students to explain Kant's philosophies they'll find papers on-line on copy and will they need to them to compare two papers on Kant's philosophy... will copy in copies of the two papers along with their key pages-they'll have to write by themselves.

While many universities worldwide are trying to curb the detection of plagiarism and punish offenders severely, Indian colleges are still lenient. The maximum penalty is a reduction in grades or an oral before the plagiarised parts of the paper. "Our punishments aren't enough," says the students says professor Hemant Narwari, KK college. "However, the tears are at best too. We give lower grades to greedy to mess up the original, appeals them to stick plagiarised reports thus failing to encourage original writing."

Priti, a student who was to George Washington University exchange programme, talks about the anti-plagiarism rules in US colleges.

"Every assignment was run through a software to check the text of plagiarism, every time," she says. "Anyone who is plagiarising was suspended."

Some colleges also devise junior ways. Sharit Bhowmick, sociology professor, Bombay University, for instance, recently received an MPhil thesis on education labour, for example. He asked the students to write all pages of the thesis in an effort to distance himself from his own writings.

Plagiarism from the internet cuts across all literary forms. Professors reveal that students download well-known poems from the Internet and submit these to colleges magazines as their contribution.

... Sometimes, they aren't so little known. A college magazine recently ran the poem, A Road-Side Life, submitted in a name a corner of tenderness soothing the pain, apparently authored by a student who was unaware that many of us have read it on the Net.

If technology offers cheating opportunities, it offers checks too. Detection software can beat sites like cheater.com that offer readymade term papers on various subjects. Plagiarism software can be easily used to check potentially plagiarised documents by analysing the syntax of sentence construction, language, and grammar. Source Document Analysis Software is another sophisticated weapon that checks the essays against documents on the Internet. Plagiarism detectors that were given on any words on our website, such as Source Document Analysis Software, developed at the University of California, Berkeley, is an internet service that detects plagiarism in computer programming.

On the other hand, there a tool which can paraphrase a nature, to make it look original. paraphrasing software is a different technique, the process is similar to cheating techniques that whose solution, professors say, doesn't lie in the checking, it lies in human integrity.

 





Monday, 26 December 2005

HARNESSING GOOGLE

 (Date: 31-12-05)

Abhi

very useful info at

 [suspicious link removed]_SEARCH_WEBMASTER_REF_ - RestrictAccessToSite.htm

http://www.mygooglepagerank.com/pagerank.php.

URL

Google Page Rank

https://www.google.com/search?q=World-Wide-Jobs.com

2

GlobalRecruiter.net

0

IndiaRecruiter.net

0

GoogleJobs.in (Some "Warning" too !)

0

Bulk SMS www.telecomstrader.com

www.nowsuso.com

adityagoel aditya.goel@cellent.com

(I have their business card).

Abhi

Google SiteMaps

These are FREE.

These are meant to.

Improve better indexing by Google Spider

Increase our Site Visibility

Increase traffic to our site

These can be created very quickly.

Let us do for all of our websites.

you will find detailed instructions at,

www.google.com/webmasters/Sitemaps/login.

Can we also benefit by adding our WWJ-GR-IR sites to "Google Mobile Index"?1

(read last of FAQ at2

google.co.in/mobile/faq.html#using33

google.co.in/mobile/faq.html#services54

google.co.in/mobile/partner.html.5

http://desktop.google.com/developer.html7.

FAQ = Why provide an API for Google Desktop?

Ans: "Finally our API lets developers embed Google Desktop Search into their own applications, bringing fast and convenient search to their users".8910

The Google desktop SDK provides documentation and sample code for using the Google Desktop APIs (via COM and HTTP/XML).111213

You may also wish to look at141516

"Site-flavored Google Search (Beta)" at,171819

ww20w.google.com/services/siteflavored.html2122

(Date: 2326-12-05)24

Abhi25

Harnessing Google26

Quite sometime27 back, I had sent a note, which contained following idea:-28

When a HR manager is interviewing a candidate, often, he runs out of topics/subjects on which to ask questions to that candidate! (Very common occurrence).29

Then again, those questions have to be on related subjects/topics - related to wh30at the candidate claims to be his area of Knowledge - skills - expertise.

Now suppose, we develop a clever software tool, whereby, when a HR mgr. moves the cursor (mouse-over?) on any particular word in the resume (Online, of course), a box pops-up, containing a SET of related words. With the help of these words, he can now probe the candidate deeper.

In V.2 of this tool, instead of mere "words", we can have even full "questions" pop-up!

To create a SET of RELATED words, for thousands of words contained in resumes, was a project beyond our resources-even beyond resources of a Very-large company. So, we did not pursue this excellent idea-an idea, which, at one stroke, would set us apart (differentiate) from the likes of Monster/Naukri etc.313233

But, now, there co34uld be a solution!3536

On Google, look at "Google Sets".3738

It does exactly what we want! Give it one word, and it display39s 5/10/20 "related" words (-sometime unrelated too).40

I believe Google manages to come up41 with this SET of related words, based on billions of "Search-Queries" it must have accumulated in its Data Warehouse, till today. I, obviously, would not know the algorithm used by Google but one thing is certain.42

Google could not have asked 10,000 engineers to sit down and wr43ite down 100 related words for 100 million words.44

Google believes in harvesting the knowledge of its millions of daily visitors, conducting billions of searches everyday.45

Like Rheingold ("Smart Mobs"), Google believes in harnessing the power of millions of its visitors - to somehow come47-up with a "CONSENSUS" answer, which is, statistically "correct". (Like "Audience Poll" of Kaun Banega Crorepati). Again & again, it is proved that the majority is right in a Audience Poll.

In the past, you (Vikram) constructed "Harvester" where Google is working in the background - quietly and without anyone knowing. (One day we must have an "Online" version of Harvester on Global Recruiter - for employers to headhunt Executive Names and then forward the list to their favourite Headhunter - for an offline "search mandate").4849

In much the same way, we should "mash" "Google Sets" into our Global Recruiter, for following purposes:5051

To find & pop-up "related words, when a HR mgr. m52oves cursor (or clicks) on any word in the ONLINE resume.53

In itself this feature will attract Corpor54ate HR mgrs to patronise our partner websites.

To use "Google Sets" to automatically re-compute (at predetermined intervals-and may be offline), the probabilities of occurrence of Keywords, belonging to each of our 29 functions.

In the enclosed flow diagram, I have shown how this can be done.

You will recall that, originally, when we wanted to plot "Function Profile Graphs, you-Inder Kariyappa had to manually select some 30/50 keywords for each "function" - then plug-in their probabilities, into the software.

I believe, we had also devised a mechanism whereby these "probabilities" can get re-computed/updated, at set intervals, based on addition/arrival of new resumes, during the interval.

But since we shut down RecrutGuru, we did not get a chance to activate this AUTO-UPDATE mechanism.

Although, we have no intention to immediately (in near future), add the Function Profile Graphs in Global Recruiter, the idea of AUTO-UPDATE of probabilities has merits.

One such "merit" is described in step #6 on enclosed chart, viz:

Knowledge Profile

Related Words

.Net

Backup

ASP

Database

ASP.Net

Migration

C++

Modules

Coding

ISO 9000

Component

Shell

CRM

SMTP

Taken from Rajeev's profile on WWJ.81

 

NOW, if these words were to be entered into Google Sets, we may come-up with 500 other -related-words.

Out of these, those which are most frequently occurring, (Highest probabilities), can be shown in the adjoining box.8283

Now, after looking at the POP-UP box if the candidate finds that there are a few which are relevant to his Knowledge Profile, he would simply "Copy Paste" and everytime this happens, we are continuously refining the "Knowledge-Base", aut84omatic85ally too!

What I have described in enclosed FLOW-CHART, applies to "Future Arrivals" of resumes thru GR-IR, where, a candidate has himself Identified his belonging to FUNCTION X/Y/Z.

Hence, resumes are automatically getting sorted by FUNCTIONS. So, preparing function-wise "SUBSETS" (for indexing/processing) is easy.

But, on the other hand, we have accumulated 5/6 lakh text resumes in our database, over the last 15 years.

Out of these, you are trying to upload on GR/IR, 1,18,000 (approx), which, at one time, you had extracted using Gumtree.

(-hence, presumably, we know their "Func").

That still leaves out a large no.

Even though, we may-not be able to upload these balance 4/5 lakhs, we could still use these, to our benefit, as follows:

Using Google Desktop, let us index these 4/5 lakhs. Then remove Garbage words. You may still be left with

 (Date: 26/12/05)

STEP #1 (Flowchart)

[Image of a flowchart. Nodes are interconnected circles and rectangles with numbers. The flow involves India Recruiter, Partner Website (A), Partner Website (B) feeding Global Recruiter Central Database. Subsets are drawn from this database by function/time: $Subset \to \text{Sales leads to box 4521; $Subset \to \text{Mktg leads to box 2964; $Subset \to \text{R\&D leads to box 9863.

The 4521 box feeds into Local Server Google Desktop. This server contains:

  • Index of 'Sales' Keywords $\to$ box 46839
  • Index of 'Mktg' Keywords $\to$ box 94322
  • Index of 'R&D' Keywords $\to$ box 69855

The input flow from the central database to the local server is labeled: $Function = \text{Sales ($Time = \text{Recent), $Function = \text{Mktg ($Time = \text{Recent), $Function = \text{R\&D ($Time = \text{Recent).]

STEP #2

Take 46839 "Sales" keywords

STEP #3

Insert each keyword into "Google Sets" & find "Other items" in the set. Repeat for each keyword

STEP #4

  • For 46839 keywords we
    1. will find a download
    2. 46839} \times \text{"(Sets" words/keyword} \to \text{X
  • Create "Probability of occurrence" for each word in this population.
  • Arrange in descending order of probability. Take TOP few words, whose probability $\le 0.90$

STEP #5

Upload on GR these TOP FEW under each FUNCTION

(Separate set for each FUNC).

STEP #6

  • In the text part of the resume, "Google Sets" Working silently in the background (without being visible to the HR mgr), immediately predicts other "related words", and displays in a box, alongside.
  • e.g. $\to \text{"Sales"
  • Similar to

WWW.VISITTHESAUNIS.COM

  • e.g. $\to \text{"Sales"
    • Sales
    • Mktg
    • Customer Service
    • Tech. Support
    • Bagan V
    • Product Sales
    • Webmaster
    • Support
    • Human Res

 













Saturday, 24 December 2005

OUTSOURCING PLAN

Abhi

Enclosed find

\triangleright "Outsourcing Plan"

These are features/modules that we may consider to outsource.

I have broadly arranged these in their order-of-importance. Let us discuss and draw-up "priorities," based on

  • Simplicity vs. Complexity
  • Time required ( 2 hr vs. 2 weeks)
  • User Benefit (Jobseekers vs. Employers)
  • Partner Website Benefit (being able to persuade Employers to switch-over to IR/GR)
  • Bye-Product, if any (e.g: lure more newspapers to register for JAS).

\triangleright "Inhouse Plan"

I believe these things cannot be outsourced & will need to be done by you:

[Signature]

24-12-05

 

OUTSOURCING PLAN

24-12-05

Feature/Module

Abhi

Developer

Vikram

1

Admin Tool

\checkmark

2

Mapping of Ind/Func with GR (timesjobs/Naukri)

3

Upload Job Adverts on IR daily (after mapping) & make searchable

4

Download resumes from Naukri/Monster/daily download resumes/map/upload on IR

5

Resume courier

6

JAP: Job-Archival Posting

7

Job search by Company Name.

8

Match Index (AUB)

9

Uploading of Print-Media Advts. by Newspapers (see Naukri feature)

10

Enticing Corporates

11

Uploading/Integrating "Harvester"

12

Resume Keyword Indexing (ISIS/Google Desktop?) & upload on IR for Search Engines to access.

13

"Map of India" based searches

14

Download jobs from USA jobsites

15

Improved "eApps of Naukri

16

Counters for "No. of Jobs" by {Ind} \cdot \text{Func} \cdot \text{Desig} \cdot \text{Loca} \cdot \text{City}

17

Broadcasting vacancies to Placement Agencies by Job Adverts

18

Starting a "User Survey" or a blog on WWJ (or GR). No other jobsites gives this!

19

Create separate sections for {Fresh Grads} or {Vacational staff} on {GR/IR}

20

"Recommendation System" for jobseekers/corpo.

21

Magic-Cube Search

 

"IN-HOUSE" PLAN

24-12-05

  1. Upload "Pay For Use" & Tariff ({Corpo} \cdot \text{Regi} \cdot \text{Pages}
  2. Upload ARM (along with U/I pages)
  3. Upload modified TERMS for Corpo. Subscribers
  4. Solution for sending RAM/RAB (bypassing MSP)
  5. Remove Counters from Homepage of GR
  6. "Resume Management" papers to be uploaded (developed by you and Rajeev)
  7. Uploading 17 messages for "ImageBuilder"
  8. Upload 200 circulars for "Communi. for Productivity"
  9. Upload Press Notes (for WWJ).
  10. Monthly Invoice from Partner to subscriber ({C} \cdot \text{Balance amount counter}
  11. Installing "Web Analytics" on {GR-IR-WWJ}.
  12. Installing "Terms" for jobseekers at bottom of "Submit Resume" page on Indra-Reemier (copy from {3pjobs.com}.

Rank on scale of 1 (Poor/None) to 5 (Excellent/High)

Date: 25/12/05

S.l.

Module / Feature

Simplicity vs. Complexity

Time Required

Jobseeker Benefit

Employer Benefit

Partner Benefit

Bye-Product Advantage

Total Score

1.

Admin Tool

2.

Mapping {Ind}/\text{Func} from {timesjobs}/\text{naukri} ({for Jobs} {and}/\text{or} {Resumes} \rightarrow \text{Ind}/\text{Func}.

3.

Jobs downloaded to be auto uploaded on {GR} daily/made searchable.

4.

Download {Resumes} from {Times}/\text{Monster}/\text{Naukri} & upload on {IR}/\text{searchable}

5.

Resume Courier

6.

{JAP}: Job Archival Posting ({Search}/\text{Audit over Jobs from 5 lakh archive}

} {SET}

7.

Job search/Apply Online by Company Name.

}

8.

Match Job {Ad} with {Resume} keywords ({Match Index (AUB)}%

9.

Uploading {Print}/\text{Media Advt} on {GR} ({Facility for Newspapers publishing JAS}

10.

Enticing Corporates by displaying {Resume Search Results} ({Short Display}

11.

Integrating {Harvester} for Corporates to give list to {Head}/\text{Naukri} to talk to

12.

Uploading {Resume} keywords {Database} on {IR} to get high ranking on search terms

13.

"Map of India" based Search - click by "state"-then by "city name"

14.

Downloading {Jobs} from {USA} jobsites

15.

Feature {Similar} ({Just better} to {Naukri}'\text{s eApps}

16.

"No. of Jobs" {Counter} by {Ind} \cdot \text{Func} \cdot \text{Desig} \cdot \text{Loca} \cdot \text{City}.

17.

Employees may start their {Job Postings} broadcast to {Place} \cdot \text{Agencies}

18.

Starting a "blog" on {WWJ}/\text{IR} \cdot \text{Differentiate} {List New Rules} {or leave}!

19.

Create {Separate sections} for {Fresh Grads} {or Vacational staff}

20.

"Recommendation System" for Jobseekers/Employees ({Like Amazon}

21.

Magic Cube Search.