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

Tuesday 17 October 2006

GURU MATCH ALGORITHM

Rahul / Saurabh :
*  Let us index each of 5.5 lakh resumes and create such a matrix ( one for each resume )
*  Let us also create such matrices for each ,
   #    DESIGNATION keywords ( 100 > 551 )
   #    IT SKILL keywords  ( 86 )
   #    Non-IT FUNCTIONS  ( 59 ? ) etc
*  What are characteristics / attributes of each word ? ( in any of these Matrices ? )
   #   No of characters in that word ( which CELL ? )
   #   Starting alphabet of that word ( which CELL ? )
   #   Ending alphabet of that word ( Probability )
   #   Last-but-one alphabet of that word ( Probability )
   #   Frequency of Occurrence in 10,000 resumes
*  Let us assume there are 26*20 = 520 Cells for each resume
    And , 26*20 = 520 Cells in MASTER KEYWORD INDEX
   ( for any given designation / IT Skill / Non-IT Function )
*  Now superimpose Master Keyword Matrix on Resume Keyword Matrix
*  Retain only those Cells in which a value is present in both
    Reject all Cells with NULL value in both
*   Now check for " Ending " alpha / character in both
   If " No Match " , then " reject "
   If " Match " , then check for last-but-one alphabet
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Please select the " Weightage " that you wish to assign to " Match Index Methods " , as shown below :
#  " Designation wise " Method ............. ( say )...... 60 % Weightage
#  "  Function wise " Method.................. ( say ) ....... 40 % Weightage
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TOTAL.......................................................................100

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